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Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we believe advanced research belongs in production, driving core algorithmic advances at a global scale. Machine Learning is a key growth lever, powering everything from real-time 3D generative AI to complex ecosystem economics across our global platform. As an Applied Scientist - PhD Intern, you’ll be part of a community of curious scientists and engineers building the foundational and applied ML methods at a scale of millions of daily active users and billions of daily AI requests. We combine innovative research—including Computer Vision and Graphics, multimodality, NLP, and recommendation systems—with world scaling distributed engineering. During your 12 or 16 week internship in the Winter, Summer, or Fall, you’ll own a high-impact project from ideation and experimentation to production and publication. There’s also the possibility of continued collaboration beyond your internship, as we support experimentation and production with top researchers, engineers, faculty, and PhD candidates globally that can lead to publications at esteemed venues. You Will - Prototype, experiment with, and deploy advanced AI, machine learning, and 3D technologies to solve real-world challenges at scale. - Translate cutting-edge research into production-ready features alongside our community of curious, cross-functional engineering and product teams. - Develop, deliver, and optimize solutions that measurably enhance user experience, safety, and creativity on our platform. You Have - Possess or are pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas. - Deep expertise in a relevant technical domain, including deep learning, computer vision, NLP, reinforcement learning, or distributed systems. - Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) with experience building and optimizing large-scale systems. - A strong research track record, evidenced by multiple publications and presentations in highly regarded peer-reviewed venues. You may redact age, date of birth, and dates of attendance/graduation from your resume. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits shown on this page are applicable to internship opportunities. Hourly Pay Range $72 - $72 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

About the Team Enterprise Controls & Console is part of Enterprise Engineering. We build the permissions, governance, and administration capabilities that help organizations use and deploy ChatGPT, Codex, and OpenAI products with confidence. We give administrators granular controls over access and security, helping ensure that people and agents operate within the boundaries their organizations define. Our work combines complex backend platform engineering with enterprise product needs and touches every major product and model launch. We build scalable, reusable services and intuitive administration experiences, and provide a shared controls foundation that enables internal teams to introduce new capabilities safely. About the Role We are looking for an experienced backend software engineer to help shape and build the systems behind enterprise access, governance, and sharing. You will bring deep backend expertise and strong product judgment to problems that span multiple OpenAI products, including how people and agents share access and work together. You will lead technical design and delivery, translate ambiguous enterprise needs into clear system behavior, and remain hands-on from implementation through production operation. This role is based in San Francisco. In this role, you will: - Design and build backend services for permissions, authorization, and governance across ChatGPT, Codex, and OpenAI APIs. - Develop sharing capabilities between people and agents, with clear access rules and enterprise controls that are understandable to administrators and users. - Build reusable services and APIs that support workspace administration and console experiences as OpenAI products evolve. - Lead architecture and delivery for complex initiatives, aligning product and engineering partners on requirements, tradeoffs, and rollout plans. - Translate enterprise needs into clear configuration, predictable permission behavior, and maintainable systems that other product teams can build on. - Own the reliability, security, and performance of the services you ship through testing, observability, production debugging, and continuous improvement. Your background might look something like: - 9+ years of professional backend software engineering experience, excluding internships, building and operating production services. - Deep backend engineering expertise and a track record of shipping complex product or platform capabilities that customers depend on. - Experience providing technical leadership for substantial initiatives, making architectural decisions, and coordinating delivery across teams while remaining hands-on. - Strong proficiency in a backend language such as Python, Go, Rust, Java, or C++, with sound software design and systems fundamentals. - Experience designing distributed services, APIs, and data models, with an understanding of reliability, consistency, scalability, and performance tradeoffs. - Experience building authorization, permissions, or enterprise governance systems, including translating access policies into reliable application behavior. - Strong product judgment and communication skills, with the ability to turn ambiguous user and administrator needs into practical technical decisions. - A track record of owning production systems, diagnosing difficult failures, and improving security, testing, observability, and operational reliability. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilities - Design and build the event bus and normalized event schema: source identity, sequencing, health state, and the adapter contract that owners of each sensor and system feed build to, plus adapters where needed - Build correlation and alerting: the rules and services that turn events from independent sources into alerts an analyst can act on - Build the classification and analytics pipelines: computer vision and multi-sensor fusion, with results landing on the event bus - Build analyst surfaces: the queue, escalation tooling, dashboards, camera viewers, and video wall content a 24/7 watch works from, plus video analytics integration so camera streams arrive on the bus as events - Deliver audit evidence: durable, tamper-evident event history, evidence exports, and the retention and access controls around them - Instrument metrics and self-monitoring: detection rates, nuisance ratios, alert aging, time to resolve; heartbeats and loss-of-telemetry alarms on every feed, tested fail-secure behavior, and change audit on every rule - Deploy across sites: site-local components, central services, and the sync that keeps configuration, rules, and state consistent, then commission each site and hand over to the analysts - Specify the compute the platform runs on (servers, storage, and the platform's network segment) to the team's segmentation and hardening baseline - Write requirements and acceptance criteria for what vendors and integrators deliver, review deliverables against them, and make the call on accepting or rejecting the work Minimum qualifications - Have built and run event-driven backend systems in production - Are proficient in at least one backend language such as Python, Go, or Rust, and have worked with a message bus or event streaming system such as Kafka - Have owned a system end to end: set the design, made the tradeoffs, shipped it, and answered for it in production - Have integrated with external systems you did not control (vendor APIs, on-prem appliances, video platforms, building systems) and designed for a life beyond any one vendor - Have directed vendor or integrator work: written requirements and acceptance criteria, reviewed deliverables against them, and decided what gets accepted - Design for the failure you won't see coming (a silent feed, a lost network path, a replayed event, a de-tuned rule), know how your system behaves when a source lies or goes quiet, and test for it - Build tools for people who use them under pressure and iterate with those operators Preferred qualifications - Experience building or operating a security operations platform (SOC, physical security operations, or the detection engineering behind one) - Experience building ML or computer vision inference pipelines over video and sensor streams - PSIM (physical security information management) or VMS (video management system) integration experience, or familiarity with physical access control and building systems data - Experience producing evidence for auditors or assessors: log integrity, retention, chain of custody - Experience using AI-assisted development tooling as a core part of your workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions. Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads. As a Senior/Staff Software Engineer, you will: - Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle. - Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and other core product foundations. - Build highly reliable control-plane services for provisioning, configuring, scaling, and operating model deployments across clouds and hardware platforms. - Design APIs and distributed systems with strong guarantees around correctness, consistency, isolation, failure recovery, idempotency, and observability. - Build security and privacy into the platform architecture, including tenant isolation, least-privilege access, auditability, secrets management, encryption, and confidential computing boundaries. - Solve complex problems that span backend systems, cloud infrastructure, security, and AI inference, where conventional SaaS patterns are often not enough. - Drive projects end-to-end, from architecture and threat modeling through implementation, rollout, production operations, and iteration based on real customer workloads. You may be a good fit if: - You are a strong backend engineer with excellent fundamentals in distributed systems, databases, networking, operating systems, and security. - You have strong programming fundamentals and experience building production systems in languages such as Go, Python, Java, C++, Rust, or similar. You write clean, maintainable, well-tested code and make thoughtful tradeoffs between simplicity, performance, and correctness. - You have designed and operated production systems where correctness, availability, security, and performance mattered at significant scale. - You can take ambiguous, high-impact technical problems, define the right architecture, and drive them through to reliable production systems. - You have strong systems-design instincts and understand concepts such as concurrency, consistency, caching, queues, rate limiting, backpressure, failure domains, idempotency, and graceful degradation. - You think deeply about security boundaries and understand authentication, authorization, identity, cryptography, secrets, tenant isolation, and how small implementation choices can create significant security risks. - You are comfortable reasoning across backend services, APIs, databases, distributed systems, and the cloud infrastructure they run on. - You are comfortable diving into unfamiliar codebases and debugging complex problems that cross service or system boundaries. - You care about the details of production engineering, including instrumentation, capacity planning, migrations, backwards compatibility, incident response, and safe rollouts. - You are comfortable challenging existing architecture and evolving foundational components when the system’s needs change. - You have a track record of taking technically difficult projects from an unclear starting point to systems that other engineers and customers depend on. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build storage on our cloud. Block, filesystem, and object storage for training runs, sandboxed workloads, and general compute: you help decide what we build, what we buy, and how it adds up to storage our customers can bet a business on. Some layers we deploy and harden from best-in-class vendors. The ones that matter most we write ourselves in Go — S3-compatible object storage, tiering, backup and recovery, caching layers that put cold data on cheap spinning disks. Storage is a strategic bet for this org: the systems you build will define how a gigawatt of European compute stores its data. WHAT YOU WILL DO - Build the storage stack — block, file, object — for training, sandbox, and general compute workloads. - Design and write our own services in Go: S3-compatible APIs, tiering, backup and recovery, caching layers. - Own the data plane: allocation, duplication, tiering, backup and recovery. - Plan capacity across datacenters and across failure domains — petabytes, not terabytes. - Partner with Product Managers to shape the storage roadmap and make the technical and business tradeoffs. WHAT WE'RE LOOKING FOR - You have built storage systems — object, block, or distributed filesystems — not just operated them. You know what happens when a disk dies mid-write and when a rebalance collides with a backup window. - Deep distributed-systems fundamentals: durability, consistency, replication, erasure coding, failure domains. - You have shipped production systems in Go. Systems engineers coming from C++ or Rust who are ready to write Go daily should still talk to us. - You are comfortable with hardware reality: HDD, SSD, and NVMe tiers, and the economics of each. - 5+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will define and build the CI/CD systems that qualify frontier models and the software stack running on OpenAI’s custom AI accelerators. Your work will make correctness, performance, and stability measurable on every change, from individual commits through production releases. This role spans model workloads, accelerator software, systems infrastructure, and developer productivity. You will establish scalable CI/CD, GitOps, and monorepo practices; design trustworthy regression and benchmarking pipelines; and partner with model, compiler, kernel, runtime, firmware, and hardware teams to shorten feedback loops without compromising production readiness. In this role, you will: - Define the model CI strategy for frontier models running on OpenAI custom silicon and integrated accelerator systems. - Build production CI/CD pipelines for functional regression, performance benchmarking, software stability, and release qualification. - Design representative test matrices across models, configurations, hardware generations, software components, and deployment environments. - Create reliable performance baselines, regression detection, bisect and triage workflows, and clear ownership for failures. - Establish GitOps practices for reproducible configuration, promotion, rollback, auditability, and environment consistency. - Shape monorepo architecture, dependency management, build and test boundaries, change validation, and developer workflows at scale. - Develop scalable orchestration, artifact management, caching, scheduling, observability, and capacity controls for accelerator-backed CI. - Partner with model, compiler, kernel, runtime, firmware, validation, and hardware teams to translate release risks into automated gates. - Improve CI reliability, speed, debuggability, and cost efficiency while maintaining high confidence in production software. You might thrive in this role if: - Have built or operated large-scale CI/CD, developer infrastructure, test automation, or production engineering systems. - Understand modern software delivery practices, including GitOps, release promotion, rollback, reproducibility, and policy-driven automation. - Have experience designing monorepos, build systems, dependency graphs, test selection, or change-impact analysis. - Can design regression and performance-benchmarking systems with stable baselines, useful metrics, and actionable failure diagnosis. - Are proficient in Python, Go, Rust, C++, or another language used to build reliable infrastructure and automation. - Have worked with distributed systems, schedulers, containers, clusters, or heterogeneous compute infrastructure. - Can collaborate with model and systems engineers to turn complex accelerator workloads into repeatable production qualification. - Care deeply about reliability, observability, developer experience, and reducing time from code change to trustworthy signal. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities - Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models - Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps - Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions - Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity - Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Are curious about LLM serving; prior inference or ML experience is not required - Thrive in cross-functional collaboration with both internal teams and external partners - Have experience working with external partners to align goals and deliver impact - Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems - Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications - Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings - Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments - Solid understanding of multi-region deployments, geographic routing, and global traffic management - Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role Productions is the “done for you” managed services wing of ElevenLabs, built for creators and media businesses. We bring together our AI audio tools and human experts in linguistics, mixing and post-production to deliver human-edited dubs, audiobooks and more in 15+ languages, directly on the ElevenLabs platform. Our customers include global media broadcasters, publishers, gaming companies and major film studios. We’re hiring engineers to build the systems behind it: the platforms that let human expertise and AI work together at the quality our clients expect, and the labelling tools our research teams use to improve our models. You’ll own a scope in one of these areas: - Human data platform: the labelling and evaluation platform research uses to continuously improve our models. You’ll ship new task editors, improve reliability, catch misuse and build the metrics behind higher-quality data pipelines. - Core productions engine: the backend machine nobody sees but everybody relies on. You’ll build and maintain the services that run our production workflows, with room to lead projects. - Editor platform: the professional editing tools our production teams work in. You’ll build in Rust, combining UI systems with a deep understanding of the underlying system. We’re building professional tools and core infrastructure, not consumer features. The work is mostly building, with little hand-holding. You’ll carve out your own scope and own the outcome. Requirements - Strong backend engineering experience, ideally in functional programming languages like Rust, with a full-stack focus on designing UI systems. You’ve shipped and run production systems end to end. - Experience making systems reliable and scalable, such as internal platforms, workflow or task engines, or data pipelines. You take pride in the infrastructure nobody sees but everybody relies on. - Comfortable switching between building a new tool or editor and hardening the platform underneath it, and keen to lead projects when the opportunity arises. - Opinionated and able to defend your ideas, but know when to just grind. You’re happy doing the unglamorous work, and you’re hungry. Bonus: - Experience building editor or UI-heavy professional tools, with a systems-level understanding of what sits underneath. - Experience with data labelling or annotation platforms, or managing crowdsourced workforces. Location This role is remote-first, so it can be executed from anywhere in Europe and the US East Coast, with the ability to operate in GMT-5 to GMT+1 timezones required. If you prefer, you can work from our offices in London, New York, Dublin, Amsterdam, and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do We are looking for a Senior Data Scientist, Transparency and Regulatory, to join the Analytics team, where you will own the data and drive data tooling behind transparency reports Epic publishes under regulations such as the DSA, and support risk assessments, audits, compliance assessments, and other compliance reporting. You'll work with Legal, Compliance, Trust and Safety, and data engineering to turn regulatory requirements into clear metric definitions, bring in the figures other teams hold, and check every number before it is published. In this role, you will - Own the data for transparency reports, risk assessments, and other compliance reporting across our products like Fortnite, the Epic Games Store, and Fab; from data requests to published figures - Work with Legal, Compliance, Engineering, and Trust and Safety policy teams to turn regulatory text into productionalized metric definitions - Map Epic's internal moderation data to regulatory categories, and work with product and engineering teams so new features capture what a regulatory report may need before launch - Partner with Data Engineering to drive the templates and validation tooling that other teams use to submit their data - Review the reporting pipeline's data quality checks every month, and work with Data Engineering to fix drift and defects, and add new moderation flows - Drive reporting methodology in partnership with leadership across the company What we're looking for - 5+ years of professional experience as a Data Scientist or in a related field, including 2+ years with Trust and Safety, integrity, risk, compliance, or regulatory reporting data - Expertise with SQL, Python, and big data technologies such as Spark or Databricks - Experience turning legal, policy, or regulatory language into precise metric definitions, documented well enough for someone else to audit - Hands-on work on transparency reports or similar regulatory reporting (DSA, COPPA, audits, etc), delivering a recurring, deadline-bound report that depends on data from other teams - Strong written and verbal communication skills with experience writing data specifications for engineers and presenting to Legal, Compliance, and senior leadership - Experience with content moderation or child safety data, such as notices, appeals, statements of reasons, or age assurance - Experience supporting an internal audit, a controls review, or a regulator's request for information - Experience with data visualization, code version control (GitHub or similar), and orchestration (Airflow or similar) - Experience using Al in daily data work and building Al tools or agents for documentation, reconciliation, or review work - Passion for the gaming industry EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a Principal Al Engineer who builds products that integrate Al into Unreal Engine. You'll design and ship the full stack of systems that let LLMs act inside the engine (from end to end, not just a single layer), bringing depth in game engine architecture, cloud services, and how LLMs actually work. In this role, you will - Design and build LLM-driven agents and tools that operate directly inside Unreal Engine, including engine-side C++/Python tooling and editor scripting - Architect and extend the cloud-hosted agent harness, services, and database that mediate between LLMs and the engine - Work across the full stack (engine tooling, cloud backend, and the web UI used to drive and monitor agents) to ship end-to-end features - Evaluate and integrate emerging LLM capabilities (tool use, multi-agent orchestration, context management) into Epic's engine and pipeline tooling - Define technical direction for the reliability, safety, and evaluation of LLM-driven engine automation - Partner closely with engine, tools, and backend engineers, and mentor others on both game engine internals and LLM system design What we're looking for - Strong programming background with hands-on experience in a game engine (Unreal Engine strongly preferred), including engine architecture and tooling/editor scripting - Practical experience building or shipping products powered by LLMs (agents, tool-calling, RAG, prompt/context engineering), or a strong conceptual understanding of how LLMs work - Experience with cloud-native services and infrastructure: web APIs, databases, and service architecture and deployment - Excellent programming skills across C++ (engine-side) and Python and/or a web backend language - Experience in the games industry or equivalent, developing interactive entertainment products - Ability to work full-stack and reason about tradeoffs across engine code, backend services, and a web front end - Excellent written and verbal communication skills, with a BS/MS in Computer Science or a related field EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - SPECIAL PROJECTS What We Do The Special Projects team at Epic is responsible for executing high-impact projects that push the envelope to define the future of real-time graphics and gaming technology (The Matrix Awakens, Lumen in the Land of Nanite). In collaboration with the Unreal Engine team, we strive to put our technology and knowledge into the hands of users, empowering developers and content creators with the most powerful suite of real-time tools in the world. What You'll Do You will work with our team of applied research programmers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions, world modeling), as well as automation of a number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem. In this role, you will - Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms that can make actions in game environments - Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap - Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones What we're looking for - PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience - Experience creating / applying machine learning algorithms for action modeling of bots behavior, vision-based or language-instructed, and deploying them as production-level systems in-game - Expert, hands-on knowledge of: - Deep learning, incl. but not limited to applications in the gaming industry - Foundational models and vision and/or language, especially vision-language-action models, reinforcement learning agents, incl. local deployment and model post-training of open weights models - Reinforcement learning, incl. experience with agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agents - Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) - Experience with working collaboratively with other developers, following a flexible/agile/lean approach This role is open to multiple locations across North America & Europe (including NYC). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). New York City Base Pay Range $232,666 - $341,243 USD ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. OpenAI’s Payroll team is responsible for timely and accurate processing of payroll and ensuring compliance with all statutory regulations. About the Role At OpenAI, payroll is not a back-office function — it is mission-critical infrastructure. We are seeking a seasoned International Payroll lead to scale and continuously improve the global payroll and payroll-support ecosystem that serves one of the fastest-growing and most technically sophisticated organizations in the world. This role is based in our Dublin, Ireland office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead the international payroll processing team and oversee end-to-end payroll delivery across EMEA and APAC, ensuring employees are paid accurately, on time, and in compliance with local requirements. - Own day-to-day operations with outsourced payroll and BPO partners, including payroll calendars, inputs, reconciliations, service-level performance, quality standards, issue resolution, and escalations. - Lead the payroll workstream for global expansion and new-country launches, including payroll registrations, in-country vendor setup, implementation, testing, systems integration, and go-live readiness. - Partner with People, Finance, Tax, Legal, Benefits, Equity, and Treasury teams to ensure accurate upstream inputs, funding, accounting, and downstream reporting. - Draft and maintain payroll documentation, process maps, operating procedures, and internal controls to support compliance, audit readiness, and business continuity. - Proactively identify and resolve payroll discrepancies and employee inquiries within SLAs, determine root causes, and implement controls that prevent recurrence. - Use data, automation, and AI-enabled tools to improve controls, reduce manual work, and increase the scalability and effectiveness of international payroll operations. You might thrive in this role if you have: - 6+ years of progressive experience in international payroll operations, preferably in a fast-paced or high-growth environment. - Demonstrated experience leading multi-country payroll delivery across EMEA and APAC, including management of outsourced payroll or BPO providers. - Hands-on experience supporting new-country payroll implementations, vendor onboarding, testing, and systems integrations. - Hands-on experience using AI tools to enhance, automate, and strengthen payroll workflows and controls. - Strong working knowledge of international payroll regulations, tax withholding, social insurance, statutory reporting, and standard payroll practices. - Hands-on experience with Workday HCM and global payroll systems. - Ability to independently manage priorities, take ownership of outcomes, and deliver high-quality work under tight deadlines. - Strong analytical and problem-solving skills with excellent attention to detail. - Clear and concise communication skills, with the ability to partner effectively with internal and external stakeholders. - Bachelor’s degree in Finance, Accounting, HR, or a related field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market engine runs on Salesforce: how leads become pipeline, how deals are tracked and forecast, how customers renew and expand, and how partners work alongside our sellers. As a Business Systems Analyst, you'll be responsible for how one of those core motions is represented in system, and a trusted partner to GTM leadership when they want to change how it works. We're looking for someone who operates at the intersection of three things: a strategist who can sit with GTM leaders and shape how they want to understand their part of the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code. Where you might sit We're hiring across several parts of the customer lifecycle. Placement depends on your background and where you can have the most impact. Opportunity Acceleration: Owns how deals are tracked, forecast, and credited in Salesforce, from stage design and forecasting to the ownership and team structures behind them. You'll partner with sales leadership to make pipeline something everyone can trust and sellers can work quickly. Lead-to-Pipeline: Owns how leads, inbound demand, and BDR outreach become qualified pipeline: lifecycle stages, routing and ownership, handoff rules, and the tools BDRs and sellers work in every day. You'll partner with BDR, marketing, and sales leadership to make the path from first touch to open opportunity faster and easier to measure. Post-Sales: Owns the systems behind renewals, expansion, and customer coverage: how post-sale opportunities are created, forecast, and worked by account management and customer success. You'll give post-sales leaders a clear, trustworthy view of the customer base and the tools to act on it. Partnerships: Owns how partner-sourced and co-sell deals are registered, attributed, and worked alongside our sellers, including the partner-facing processes and reporting leadership relies on. You'll help turn a fast-growing channel into a motion the business can measure and scale. Key responsibilities - Own the design of your core funnel domain in Salesforce: lifecycle stages, process, exit and handoff criteria, key fields, and the automation and guardrails that keep the data trustworthy - Partner with GTM leadership on how their motion runs and how they want to see it, and make the tradeoff calls on what teams enter versus what insight that data unlocks - Partner with RevOps to systematize how GTM teams are structured, assigned, and credited: ownership, routing, coverage, splits, and the territory and role structures those depend on - Operationalize the methodology in system, turning frameworks and process discipline into fields, validation, scoring, and in-context guidance that people actually use - Act as data-model steward for your domain and its closest neighbors: the named approver for new fields, automation, and integrations touching those objects, and the keeper of why each one exists - Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification - Own the seams to the neighboring stages of the customer lifecycle (lead handoff, opportunity, quote-to-cash, renewal, partner attribution) so the experience is coherent end to end even where the build sits with another team - Evaluate and configure tooling that accelerates the motion: routing, activity capture, sequencing, deal inspection, account planning - Run discovery, UAT, enablement, and adoption measurement for everything you ship; help raise the bar for how BSA work is done on this team Minimum qualifications - Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of work in a core funnel domain such as lead management, opportunity and pipeline, renewals and account management, or partner channel - Experience designing and rolling out a lifecycle, process model, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption - Credibility with GTM stakeholders: you've been in the pipeline review, forecast call, or planning session, and you can push back when there's a better answer - Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, assignment and routing, page and Path design) and specs that make the handoff to developers clean - Crisp communication across GTM teams, leadership, RevOps, and engineers, adjusting altitude for each Preferred qualifications - 5+ years of experience in GTM/Revenue systems roles - Salesforce Administrator certification - Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification - Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, routing, splits, territory) and turning those decisions into working system design - Experience across more than one part of the customer lifecycle, such as lead, opportunity, renewal, or partner - Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market - Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role- at an AI-native or highly technical company with a large, low-touch book - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Language Requirements - Must be fluent in Spanish/Portuguese and English Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Growth Roles - Regional Adoption Lead - Other teams: Account Management, Digital CX or Deployment Strategist Location This role can be based in Argentina or Brazil We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role You will run the external audit calendar for our SOX 404 program as we scale toward an IPO. That means coordinating with our external auditors across the year, aligning testing windows with control owners, educating our control owners, and keeping requests and deliverables on schedule. You will also own SOX scoping and risk assessment cycles, deficiency tracking, and status reporting, and help roll out our GRC platform so the program runs from one system of record instead of spreadsheets. You will scale the program through AI-enabled workflows that reduce manual effort and speed up our SOX program. This role reports to the Head of Business Controls and works closely with everyone on the SOX and Internal Audit team. This is an individual contributor role for someone who keeps a complex program on schedule, writes clearly, and makes the program simpler each cycle. Key responsibilities - Own the annual SOX audit calendar, including interim and year-end testing windows, walkthrough schedules, and key deliverable dates agreed with external auditors. - Serve as the day-to-day point of contact for external auditor requests. Triage, route, and track each request to closure, including PBC (provided-by-client) lists and evidence deliveries. - Coordinate auditor walkthroughs and fieldwork with process owners, control owners, and the SOX Testing team, so each control owner is asked for the same evidence once. - Track auditor findings, management responses, and deficiency follow-ups, and report status to Internal Audit leadership. - Prepare control owners and process owners for auditor sessions, and get evidence delivered on time without direct authority over them. - Lead the annual SOX scoping and risk assessment, including quarterly refreshes, and support the annual Fraud Risk Assessment, so the program has appropriate scope and coverage under COSO. - Monitor BP and IT SOX testing and report status to leadership and share status with external auditors - Lead work with the business to improve control documentation, including education of templates and SOX guidance. - Find optimization and automation opportunities across the SOX lifecycle through the use of AI. - Support the rollout of the GRC tool for SOX, including control libraries, workflows, evidence requests, and testing templates. - Define the data and reporting requirements the platform must meet, and test that it produces what the program needs. - Run the quarterly sub-certification process and report results to leadership - Own SOX program status reporting: dashboards and metrics for leadership, audit calendar progress, and deficiency and remediation status. - Own status reporting for the full SOX lifecycle: scoping and risk assessment, testing, deficiencies and remediation, segregation of duties (SOD), SOC 1 report reviews, the fraud risk assessment, and audit calendar progress. Minimum qualifications - Big 4 audit firm experience on SOX 404 or ICFR engagements, including managing audit calendars, PBC requests, and fieldwork with external audit teams. - Experience working directly with external auditor teams on requests, testing schedules, and findings, from the company side. - Several years of hands-on SOX 404 experience, including scoping, risk assessment, control documentation, testing, and deficiency evaluation. - Working knowledge of the COSO framework, ICFR, and PCAOB standards. - Experience developing or maintaining Risk and Control Matrices and process documentation or flowcharts. - Experience implementing or administering a GRC systems - Experience reporting program status, metrics, and issues to senior leadership. - Ability to get control owners to deliver on time without authority over them. - Clear writing and calm coordination under deadline pressure. - A Bachelor's degree in a related field or equivalent experience. Preferred qualifications - In-house SOX experience at a pre-IPO or newly public company. - Experience running a fraud risk assessment. - CPA, CISA, or similar certification. - Comfort with SQL or data tools for reporting, and experience building lightweight automations, including with Claude. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Build and lead a practical, high-trust health and safety program for Mistral AI’s rapidly expanding data center operations. You will protect employees, contractors and visitors while enabling safe deployment and operation of increasingly dense AI compute infrastructure across colocation sites. You will turn complex operational risks into clear standards, effective controls and measurable improvements. Operating context & accountability You will be the safety partner to Data Center Operations, IT Operations, infrastructure delivery, Security, Legal and People teams, and work directly with colocation operators, installation contractors and OEM service partners. Your remit spans live sites, deployment projects, commissioning and transitions into operations. You will ensure that safety responsibilities are clearly defined and that Mistral-controlled activities meet applicable requirements while challenging partner performance where shared interfaces create risk. Key responsibilities - safety management and compliance - Own the operational health and safety management framework for the data center portfolio: policy, critical-risk standards, annual objectives, assurance calendar, risk registers, incident classifications, documentation and management reporting. - Interpret applicable occupational health and safety requirements with local specialists; translate them into site-level expectations, control plans and auditable evidence across different countries. - Lead regular risk assessments, inspections and assurance reviews; prioritize findings by severity and exposure, assign owners and verify corrective actions have actually reduced risk. - Create consistent arrangements for site access, inductions, competency checks, contractor onboarding, safety briefings and refresher training, including evidence of completion. - Develop meaningful leading and lagging indicators, including high-potential near misses, overdue critical actions, training coverage, contractor observations and incident trends; present clear recommendations to leadership. - Support supplier selection and contract reviews by defining appropriate safety requirements, escalation expectations and minimum standards for colocation and technical service partners. Key responsibilities - operational and technical risk - Provide safety oversight for electrical work interfaces, energized equipment, isolation and lockout/tagout, switching coordination, arc-flash exposure and simultaneous activities in live data halls. - Assess safe systems of work for heavy rack deliveries, lifting and rigging, material handling, battery systems, working at height, temporary works, confined spaces where relevant and high-density IT installation. - Review method statements, risk assessments, permits to work and job safety analyses for high-risk activities, ensuring that scope, boundaries, competence, emergency arrangements and hold points are understood. - Partner with engineering teams on the risks introduced by direct-to-chip liquid cooling, CDUs, coolant handling, pressurized circuits, leak detection, hot surfaces and changing rack densities. - Participate in readiness reviews before energization, commissioning, major deployments and changes in operating configuration; confirm critical safety issues are resolved or escalated before work proceeds. - Coordinate emergency planning and drills with colocation operators and emergency responders for fire, evacuation, electrical incidents, coolant leaks, medical emergencies and loss of critical infrastructure. Key responsibilities - investigations and culture - Lead or coordinate investigations of incidents, unsafe conditions and high-potential near misses involving Mistral activities; use structured causal analysis and share actionable learning across the portfolio. - Challenge the completeness and quality of provider or contractor investigations when Mistral personnel or equipment may be exposed; track preventive measures through verification. - Coach engineers, managers and vendors to identify hazards early, stop unsafe Mistral-controlled work and raise concerns without hesitation. - Build strong partnerships with operations, construction, logistics, physical security, compliance and HR; communicate safety expectations clearly in written guidance, training and site discussions. - Provide practical support to other regions during major incidents, rapid expansion or unusual operational risk. What success looks like - Critical activities are governed by clear, adopted controls and a consistent standard across sites. - High-severity findings are visible, owned and resolved; incident learning results in verified preventive action. - Site and contractor training, emergency readiness and compliance evidence are maintained and readily accessible. - The safety program scales with infrastructure growth without creating unnecessary bureaucracy. Minimum qualifications - At least 5 years of practical health and safety experience in operational, industrial, construction or mission-critical environments. - Experience implementing safety programs, contractor controls, inspections, risk assessments, investigations and training. - Working knowledge of occupational safety regulations and high-risk work controls; ability to coordinate country-specific requirements. - Strong communication and influencing skills across technical teams, suppliers and senior stakeholders; fluent professional English. - Ability to work regularly on site and travel between data center locations; valid driving licence where required for site access. Preferred qualifications - Data center, manufacturing, power infrastructure or complex construction experience involving employees and multiple contractors. - Experience with electrical safety, critical mechanical systems, commissioning and work in live operational facilities. - Recognized HSE qualification and familiarity with ISO 45001-based management systems. - Experience with international portfolios, colocation operators and high-density IT or liquid-cooled systems. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As our VP of Sales - Global Public Sector, you will spearhead year-over-year global revenue growth by developing and executing on enterprise level PUBSEC customer acquisition strategies. You will drive long-term success through strategic development, coaching, and expanding Cohere’s presence in the public sector. In this pivotal leadership role, you will cultivate and guide our sales team to exceed revenue targets and organizational goals, while fostering a culture of excellence and innovation. Key Responsibilities As our VP of Public Sector Sales you will: - Develop, execute, and lead a comprehensive, global go-to-market growth strategy and sales plan for the Public Sector, driving revenue growth and market expansion working with other regional sales teams. - Provide sales and operational leadership to Cohere’s PUBSEC sales team, ensuring alignment with company objectives and priorities. - Partner with Marketing, Product, and Engineering teams to synchronize sales efforts with broader company goals. - Represent Cohere at PUBSEC industry events, conferences, and networking opportunities, as well as with regulators and government agencies, in collaboration with other regional and global leaders in Cohere. - Manage and nurture relationships with government decision-makers and partners to ensure Cohere’s success in the region. Identify and pursue new business opportunities, negotiating and closing high-value deals. - Collaborate with global teams to strengthen anchor relationships and establish best practices for enterprise-level project implementations, ensuring strong client engagement throughout project lifecycles. Qualifications This career opportunity may be a good match for you if you: - Have 10+ years of PUBSEC sales and leadership experience leading go-to-market efforts and driving revenue growth for fast paced technology organizations. - Have an established network, including federal agencies, prime contractors, and industry associations with an emphasis on the Defense and Intelligence communities. - Possess a proven track record of leading capture and sales efforts for consultative solution sales and business development efforts, with a deep understanding of regional procurement and budget cycles, customer success, and resource allocation. - Have exceptional communication and leadership skills, with the ability to build cross-functional relationships and influence at all levels. - Are comfortable operating in a matrix environment, coordinating efforts across cross-functional teams and regions without the need for a large direct organization. - Are a self-starter with an entrepreneurial mindset, capable of working independently, rolling up sleeves, and driving impact as a ‘builder.’ - Experience in AI or a related industry is highly desirable. - Must be willing to travel (25-40%). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Serve as Mistral AI’s senior technical authority for critical electrical, mechanical and life-safety infrastructure across assigned colocation sites. Protect the availability of high-density AI compute by identifying technical risks before they become incidents, challenging infrastructure operating practices and verifying that power and cooling systems perform within agreed requirements. Operating context & accountability Working with Engineering Operations leadership, IT Operations, hardware partners and colocation providers, you will provide hands-on technical assurance across a site or cluster. You will assess provider performance, advise on critical decisions, support incident response and ensure operational learning drives durable improvements. The role focuses on technical oversight and influence rather than direct management of the colocation provider’s maintenance workforce. Technical assurance and operational risk - Own and maintain the site technical risk register, including electrical and mechanical single points of failure, maintenance exposure, redundancy limitations, cooling capacity, liquid-cooling interfaces and common-mode failure scenarios. - Assess the resilience of utility connections, MV/LV distribution, transformers, generators, UPS, switchgear, busways, protection systems, pumps, cooling plant, controls and monitoring against the contracted operating envelope. - Review provider preventive maintenance strategies, schedules, critical asset condition and outstanding defects; identify maintenance deferrals and vulnerabilities that may affect AI compute availability. - Critically review high-risk methods of procedure, electrical switching and isolation plans, planned impairments, work sequencing, contingency measures, rollback plans and restoration criteria. - Validate the completeness and quality of technical documentation, including single-line diagrams, P&IDs, operating sequences, alarm matrices, capacity records, asset registers and operating procedures. - Use BMS/EPMS trends, alarms, power-quality records and cooling telemetry to identify abnormal operating conditions, capacity constraints and deteriorating resilience before service is affected. Incident response, investigations and reliability - Act as a senior engineering escalation point during major infrastructure incidents; rapidly assess failure domain, remaining redundancy, safety implications, likely IT impact and viable restoration options. - Coordinate technical information across the colocation provider, Mistral IT Operations and OEM partners, ensuring accurate incident timelines, risk communication and controlled return to service. - Review and challenge root-cause analyses, distinguishing immediate triggers from underlying design, maintenance, controls, process and organizational contributors. - Define and follow up corrective and preventive actions, requesting evidence of implementation and verifying that recurring failure modes have been addressed. - Identify systemic trends across sites and share lessons learned with engineering design, commissioning and regional operations teams. - Support emergency response planning and tabletop exercises covering loss of utility, cooling failures, liquid leaks, fire/life-safety events and critical equipment failures. Capacity delivery, commissioning and change control - Participate in design and constructability reviews for expansions, retrofits and new AI deployments; flag operational, maintainability and resilience concerns early. - Review commissioning and integrated systems testing plans, including power transfers, redundancy scenarios, controls failure modes, cooling recovery and operational readiness criteria. - Challenge test results and acceptance evidence against defined electrical, thermal and operational requirements; track unresolved technical issues through handover. - Partner with IT Operations on rack power and thermal limits, direct-to-chip liquid cooling, coolant distribution unit boundaries, leak response and load-restoration dependencies. - Assess proposed changes to critical infrastructure, including concurrent maintenance, controls updates and brownfield works; recommend safeguards and escalation where exposure is unacceptable. - Provide technical coaching to internal stakeholders, contribute to engineering standards and support recruitment and knowledge sharing as the portfolio expands. Success measures - Critical technical risks are identified early, prioritized and reduced through verified mitigation actions, supporting Mistral’s availability objectives. - High-risk maintenance and infrastructure changes receive timely, evidence-based technical review with clear mitigations and escalation. - Major incidents are diagnosed accurately, communicated effectively and followed by robust root-cause analysis and verified corrective actions. - New and expanded capacity meets agreed redundancy, electrical, cooling and operational acceptance requirements. - Repeat failures, unresolved high-severity defects and preventable technical deviations decrease over time. Minimum qualifications - 5–7+ years in critical facilities engineering, commissioning, data center operations or technical assurance in high-availability environments. - Strong practical knowledge of critical electrical infrastructure (UPS, generators, MV/LV distribution, switchgear and protection) and mechanical systems (cooling plant, pumps, controls and heat rejection). - Ability to review single-line diagrams, operating sequences, technical procedures, maintenance plans, commissioning evidence and root-cause analyses. - Demonstrated experience troubleshooting complex infrastructure incidents and influencing external technical teams without direct line authority. - Clear written and verbal English communication, sound judgment under pressure and willingness to travel and participate in incident escalation as needed. Preferred experience - Full technical governance, multi-site operations or mission-critical facilities serving high-density AI/HPC workloads. - Experience with direct-to-chip liquid cooling, CDUs, facility/technology cooling interfaces, water quality, leak detection and rack-level thermal management. - Integrated systems testing, EPMS/BMS trend analysis, protection coordination, failure-mode reviews and cross-site engineering standardization. - Experience partnering with hardware OEMs, design engineers, commissioning teams and infrastructure providers during live-site expansion. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Talent Acquisition Lead, Early Careers , you will play a pivotal role in shaping the next generation of AI talent at Mistral. You will design, build, and run our global early careers strategy — spanning internships, graduate hiring, and campus recruitment — positioning Mistral as a premier destination for ambitious students and recent graduates in AI. This is a rare opportunity to build early careers programs from the ground up at one of the world's leading AI companies. You will own the full lifecycle of the intern and graduate experience: from sourcing and selecting high-potential talent through international school and university partnerships, to designing inclusive, well-structured programs that develop and convert that talent into future Mistral employees. Working from our Paris HQ, you will partner closely with hiring managers across all our departments to ensure early careers pipelines keep pace with our rapid global growth. 📌 Location: this role is located at our Paris, France HQ, with hybrid onsite collaboration. What You Will Do - Design and execute strategic early careers programs with clear goals for intern and graduate pipelines, aligned with Mistral's global growth plans and talent needs. - Partner with hiring managers and the People team to define role requirements, train and scale interview panels, and align on early careers priorities. - Own the end-to-end recruitment process for interns and early careers hires globally — from role definition and sourcing through offers and conversion decisions. - Build and maintain partnerships with top international schools and universities, creating sustainable, multi-year sourcing channels for high-potential candidates. - Build inclusive and equitable intern programs with structured learning objectives, meaningful core projects, and mentor/buddy pairing systems for every cohort - Drive global campus recruitment : represent Mistral at career fairs, host on-campus events, and develop targeted employer branding strategies for student markets. - Recruit, onboard, and lead a team of hands-on recruiters : set priorities, coach and develop the team, and scale capacity in step with hiring demand across geographies. - Build scalable systems and best practices: workflows, documentation, and tools to support rapid growth across geographies. - Embody our culture as an ambassador for Mistral, on campus and internally. What We're Looking For - Proven experience: 7+ years in recruiting, preferably in tech, high-growth, or competitive environments. - Early careers depth: Exposure to global early careers, internships, or graduate recruitment - Team leadership: Demonstrated experience building, growing, and managing a team of recruiters in a fast-scaling environment. - Partnership expertise: Expertise in international school and university partnership development and global campus recruitment. - Program building: Demonstrated experience building inclusive and equitable intern programs, with excellent project management skills and exceptional attention to detail. - Data-driven mindset: Skilled at analyzing metrics to solve problems and optimize recruitment processes. - Global perspective: Experience with international hiring and fluent English communication; French is a plus. - Stakeholder influence: Ability to advise and align senior leaders with credibility and diplomacy. - Hands-on execution: Capable of balancing strategy with operational excellence, staying organized and disciplined across concurrent programs and locations. - Tool proficiency: Familiarity with modern ATS (e.g. Ashby), LinkedIn search, scheduling tools, and AI-driven productivity tools is a plus. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively. What you'll do: - Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions. - Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery. - Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time. - Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and safety at scale. - Establish best practices for system design, coding standards, and evaluation frameworks for ML/AI systems, mentoring team members on architectural decisions and modern ML development workflows. Required Skills and Experience: - 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale. - Hands-on expertise with large language models, deep learning architectures, and the generative AI ecosystem (LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock), with demonstrated ability to build multi-agent or LLM orchestration systems. - Proficiency in Python with the ability to write clean, maintainable, and highly tested production code for ML applications. - Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling, with the ability to ramp quickly on adjacent areas. - Proven ability to write technical design documents and communicate complex ML concepts clearly to non-technical stakeholders across product, design, and CX teams. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality. P78698 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $191,250 - $225,000 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with the customer in the Omaha area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government - Prior experience at an API technology company and / or managing technical customers using an API A technical degree in computer science, engineering, or related field - Proficiency in Python, SQL or other programming languages - Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Miami, FL is: $138,400 - $208,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. As Office Manager, you run our New York office and make it a place people want to come to. The office is open, but the operational foundation is still to be built: few local vendors, no established rhythm, and a team growing fast. You run the office day to day as it grows from a handful of people to a full regional site, and you help put the foundation underneath it. Day to day, you are the person who makes the office work: the space, the vendors, the onboarding, the events, the visitors, and the hundred small things that decide whether a team is set up to do its best work. You also set the atmosphere. A lot of what makes an office somewhere people choose to be comes down to who runs it. This is an in-office role in New York, and you will be at the office five days of the week. It suits a hands-on operator who likes being first in: equally comfortable pushing a vendor contract over the line and sorting the catering order, and proud of a team that never has to think about logistics. We care more about how good you are than how many years you have done this. If you are early in your career but have a clear record of excelling at whatever you took on, we want to hear from you. Key Responsibilities - Office: Run our New York office end to end: the relationship with the landlord or workspace provider, access and security, health and safety, the cleaning and facilities vendors, supplies, and the day-to-day running of the space. - Atmosphere and Team Rhythm: Own the office cadence, from lunches and all-hands setup to team dinners and offsites. For customer and community events, partner with our Field Marketing team, who own the programmes, ensuring everything hosted at the office runs smoothly. - Onboarding: Make every new joiner productive on day one: equipment, access, desk, local paperwork, and a proper welcome. Handle offboarding just as cleanly. - Visitors: Host visiting executives, customers, and candidates, and make sure their time at the office runs smoothly. - Vendors and Budget: Select and manage local vendors (landlord or workspace provider, IT and device provisioning, AV, catering, cleaning, security, insurance) and own the office budget, invoices, and renewals. Minimum Qualifications A demonstrable record of excellence in whatever you have done so far (office management, operations, a startup, a fast-paced team, or elsewhere), where you were clearly one of the best at it. Years of experience matter less than this. - Fast learner with real curiosity: comfortable learning new skills that may be needed in the office with no clear owner, and knowing when to bring in expert help. - Hands-on with vendors and negotiation, or the confidence and judgment to become so quickly. - Highly organised, with a track record of running many parallel workstreams to completion without being chased. - Comfortable operating with autonomy in an ambiguous, fast-changing environment; you build the process rather than wait for it. - Excellent written and verbal communication and a service mindset toward the team. - Warm, calm under pressure, and the kind of person people go to first. This role sets the tone of the office. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

S

Head of AMER Startups (AI Sales)

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world's largest enterprises to the most ambitious startups, use Stripe to start their business, accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The AMER Startups team is responsible for Stripe's fastest-growing and highest-potential customer segment. Within this organization, the AI Sales team focuses specifically on the breakthrough ecosystem of AI - spanning foundation model builders, AI infrastructure platforms, agentic workflows, and AI-native SaaS applications. AI startups represent an unprecedented paradigm shift: they achieve hyper-growth at velocities previously unseen in software, operate complex token- or consumption-based monetization models, and face unique infrastructure and scaling demands from day one. You will tackle the challenge of building dedicated coverage, specialized technical go-to-market motions, and intelligent automation systems to support thousands of AI companies as they scale from seed stage to market dominance. What you’ll do As Head of AMER Startups (AI Sales), you will lead the dedicated organization responsible for acquiring, expanding, and partnering with high-growth AI startups across North America. This role acts as both an expansion engine and a strategic acquisition vector for the most transformational segment in tech. You will be a second-line leader managing frontline managers across specialized Account Executives who grow distinct AI stages (e.g., early-stage AI labs, scaling AI infra, and enterprise-grade AI native apps). You will partner cross-functionally with product managers, solutions architects, risk specialists, and AI ecosystem venture partners to build GTM motions around usage billing, multi-product platform adoption, and AI-native monetization patterns. This role reports to the Head of AMER Startups. Responsibilities - Vision & Strategy: Develop the overarching GTM vision, sub-team structure, and operating model for Stripe’s AI Startup organization across North America. - Specialized AI Coverage: Design coverage models optimized for non-linear, hyper-growth trajectories—balancing high-touch high-velocity sales engineering for breakout AI labs with signal-driven, automated coverage for emerging AI developers. - Monetization & Product Attach: Drive adoption of core Stripe financial infrastructure—including Metered/Usage-Based Billing, Connect, Financial Connections, and Global Payouts—tailored specifically to consumption and token-based pricing models. - Breakout Detection Systems: Create data-driven systems and signals to identify early breakout AI companies (e.g., sudden compute expansion, API usage spikes) and rapidly deploy specialized resources to capture and retain market share. - Ecosystem Leadership: Partner closely with leading AI venture funds, incubators, AI compute providers, and cloud marketplaces to position Stripe as the default financial stack for AI startups. - Team Building & Management: Recruit, hire, and develop top-tier frontline managers and Account Executives, defining specialized AI sales profiles and fostering an environment of deep domain expertise. - Product Feedback Loop: Serve as the strategic voice of AI founders to Stripe’s Product and Engineering teams, shaping roadmap priorities for billing engine scalability, usage metering, and AI agent payment capabilities. - Forecasting & Operations: Own pipeline health and revenue forecasting for a volatile, hyper-growth segment using specialized leading metrics (usage volumes, API calls, compute commit signals). Who you are Minimum requirements - 10+ years of experience leading high-growth technology sales or GTM organizations, with 3+ years as a second-line manager leading multiple specialized sales sub-teams. - Demonstrated experience with usage-based, consumption, or complex SaaS billing and monetization models. - Proven track record of driving multi-product platform adoption and cross-sell growth in fast-moving technology environments. - Strong quantitative, analytical, and systems thinking skills to model portfolio economics, coverage ratios, and signal-driven investment decisions. - Demonstrated ability to recruit, develop, and retain high-performing frontline leaders and Account Executives. Preferred qualifications - Deep domain knowledge of the AI landscape, including LLMs, generative media, AI agent frameworks, and AI cloud infrastructure. - Active connections within the startup and venture capital ecosystem (AI founders, investors, and startup communities). - Prior sales leadership experience at a high-growth developer-focused, infrastructure, or fintech platform. - Experience designing incentive and compensation structures aligned with consumption and usage-driven revenue models. - Track record of leveraging AI and automated signal workflows internally to scale sales productivity and coverage beyond linear headcount growth. Leadership Style You are a "player-coach" who can dive deep into the technical architecture of a generative AI startup's billing stack while stepping back to execute long-term strategic plans for the overall AMER market. You thrive in rapid, dynamic environments, embrace ambiguity, and lead through cross-functional influence across Product, Marketing, Risk, and Engineering. You will embody Stripe’s core operating principles in your day-to-day leadership: - - User First: You advocate relentlessly for the AI founder, ensuring our products solve the unique payment and monetization friction points of AI-native software. - Stay Curious: You continuously study emerging AI architecture patterns, new business models, and founder needs to keep Stripe ahead of market shifts. - Collaborate Egolessly: You work seamlessly across Stripe, prioritizing the overarching success of the Startups mission and the broader AI ecosystem over individual or team-specific metrics.

S

Head of AI Startups, EMEA

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is building the economic engine for AI – and it’s working. Today, 88% of the Forbes AI 50 are building on Stripe (and most of the remaining 12% are pre-monetization). The AI GTM team is focused on helping AI-native businesses monetize and scale. We're in a unique position—partnering with the world's most ambitious AI companies (like OpenAI, Anthropic, ElevenLabs, and NVIDIA) to help them grow. This is one of the fastest growing parts of the business, and we need more great people to help us continue to accelerate. What you'll do As a Sales Manager on the EMEA Startup team at Stripe, you will leverage your sales leadership and product expertise to drive growth through existing strategic AI customers. Reporting to the Regional Sales Lead for Startups, you will lead a team of Account Executives responsible for expanding Stripe's relationship with some of the most important European AI companies in the world—across payments, billing, and beyond. You will be instrumental in leading in-depth product discussions with customers, developing consultative and solution-based sales strategies, and building deep knowledge of the AI industry and its unique monetization challenges. You will collaborate closely with Product, Marketing, Product Marketing, and User Operations teams to develop and execute against our go-to-market strategy. Responsibilities - Develop the long-term vision for a growing AI GTM team and scale day-to-day operations. - Lead and manage a team of Account Executives managing existing AI accounts (driving revenue expansion, product attach, and retention) and looking for new business opportunities. Establish strategic plans and objectives to drive growth across the AI GTM business line, guiding execution to KPIs. - Build and develop a high-performing team, fostering a strong culture of energized and engaged Stripes while investing in the growth and development of your team. Coach and guide the team in developing consultative and solution-based sales skills throughout the sales cycle. - Be accountable for driving revenue, increasing product attach rates, and growing existing clients at high rates. - Engage with Product, Marketing, and User Operations teams to influence our product roadmap (you are on the frontier!) and accelerate our growth trajectory for our AI industry users. - Serve as both an internal and customer-facing expert on Stripe's products, particularly as they apply to AI-native business models (usage-based billing, marketplace payments, embedded finance, agentic commerce). - Build strong relationships with customer executives (CEO, CFO, CTO) and serve as a trusted advisor on how Stripe can support their growth. - Create best practices and improve the business and customer engagement model. Who you are Sales leader: You are an adept sales leader, capable of engaging in business-level and technical conversations at multiple levels of the organization. You see value in competitive situations and enjoy working on products that require both deep product understanding and technical knowledge, especially for AI industry users. People developer: You are a strong people leader who builds high-performing teams through coaching, accountability, and culture. You're as comfortable working with clients as with internal stakeholders (including executives) and are excited to become an expert and share your knowledge. You possess an organized, self-starter mindset and excellent communication skills, with a track record for improving the processes and organizations around you. AI enthusiast: You have deep context in the AI industry and are energized by keeping up with new developments in the space. You bring a user-first mindset— you approach every customer interaction as a consultative partner rather than a transactional seller. Technically curious: You understand APIs, webhooks, and modern developer tools—and you can hold credible conversations with engineering leaders about how Stripe's infrastructure fits into their stack. Minimum requirements - 8+ years of sales leadership experience, launching and growing high-functioning sales teams/products. - 10+ years of experience in hyper-growth SaaS or technology environments - Demonstrated success managing existing/growth customer portfolios and driving revenue expansion. - Proven ability to be a self-starter, capable of driving business results without significant supervision. - Ability to understand complex technical requirements and craft solutions across multiple stakeholders. - Deep understanding of AI industry dynamics, business models, and monetization strategies (usage-based pricing, API-first distribution, agentic commerce). - Strong product acumen—ability to learn and articulate complex product capabilities, understand how they work technically, and connect them to user needs. - Excellent verbal and written communication skills, including strong presentation skills for in-person meetings with multiple stakeholders. - An enthusiastic "roll up your sleeves" mentality. - Proven ability to lead complex negotiations involving bespoke agreements with commercial and enterprise businesses. Preferred qualifications - Industry experience in payments, financial infrastructure, developer tools, or AI/ML platforms. - Existing relationships within the AI ecosystem (AI labs, AI-native SaaS companies, developer platforms). - Experience selling complex platform solutions involving multiple products. - Prior experience at a growth-stage software company or a leading payments/fintech company. - Familiarity with Stripe's product suite and how AI companies leverage financial infrastructure to scale.

D

Group Product Manager, Data/ML

Negotiable

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. As Group Product Manager for Data/ML, you'll drive the vision, strategy, and roadmap for Discord's Machine Learning Platform and its applications, particularly to Advertising, while also championing how the broader company uses data to make product decisions. This is a horizontal role reporting to the VP of Product, Business that touches nearly every product team at Discord, as well as core technical teams, so you'll need to be comfortable driving alignment across stakeholders whose goals are sometimes in tension. What you'll be doing - Guide the product philosophy, vision, and roadmap for Discord's ML Platform and its key use cases (Personalization, Notifications, Safety, Advertising, Recommendations). - Own performance against key data and ML business metrics, and proactively report progress to stakeholders across the company. - Collaborate deeply with Applied ML, ML Platform, and Data Science to build and prioritize the ML roadmap for our Advertising products. - Advise product teams across Discord on how to build and instrument their products with data-first capabilities from the start. - Drive cross-functional execution across all product areas, working with engineers/MLEs, security, legal, and policy partners as needed. What you should have - 8+ years of combined experience in data science and product management, including direct, hands-on experience as a data scientist or in a similarly quantitative role before moving into product. - 3-5+ years of product management experience owning algorithmic, data-driven systems (e.g., bidding, ranking, personalization, and/or recommendations systems), including responsibility for prioritization, trade-offs, and timelines. - Proven ability to analyze and synthesize data directly, not just interpret it secondhand, including comfort with the statistical and quantitative fundamentals behind modern ML systems. - Demonstrated technical proficiency working closely with ML/data engineers, including familiarity with ML fundamentals, enough to cut through the buzz and separate what's practical at scale from what isn't. - Experience operating across international or distributed teams and stakeholders. Bonus Points - Experience in performance advertising and real-time bidding specifically. - Proficiency in modern BI tooling (Looker, Tableau, or similar). - Passion for games, gaming, or online communities. Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. For this role, the Hiring Manager would like folks to be in the office 3 days a week. The base salary range for this full-time position is listed below. This position will also be eligible for equity and benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only, and do not include equity, or benefits. Base Salary $304,000 - $380,000 USD Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

R

AI Operations Engineer

Negotiable

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Corporate Engineering team is building and scaling the next generation of enterprise AI infrastructure at Robinhood. Our mission is to make AI capabilities reliable, secure, and accessible across the company, enabling teams to build, deploy, and operate intelligent solutions at scale. From enterprise LLM integrations to agentic workflows and hybrid cloud infrastructure, we're creating the foundation that supports how Robinhood leverages AI internally. As an AI Operations Engineer, you'll help support, maintain, and improve the AI platforms and infrastructure used by teams across Robinhood. You'll work hands-on with LLM integrations, automation, monitoring, and production systems, partnering with engineers and internal users to troubleshoot issues and build solutions that make our AI capabilities more reliable and easier to use. This is an opportunity to grow your expertise in AI infrastructure while contributing to a rapidly evolving area of Corporate Engineering. This role is based in our Menlo Park, CA, New York, NY, and Bellevue, WA offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Build internal tooling, automation, and self-service solutions that streamline AI operations, reduce manual intervention, and improve the developer experience. - Support and maintain enterprise AI platforms and infrastructure across cloud-based and on-premises environments, helping ensure reliable performance and availability. - Troubleshoot technical issues involving LLM integrations, APIs, model behavior, and system performance, working directly with developers and internal teams to identify and resolve problems. - Support enterprise LLM integrations, including Anthropic Claude and Google Gemini, helping monitor API usage, token consumption, performance, and reliability. - Implement and maintain monitoring, observability, and deployment workflows for AI systems, identifying issues and opportunities to improve operational efficiency. - Collaborate with Product, Software Engineering, Business Systems, and AI Strategy teams to gather feedback, investigate recurring issues, and improve the reliability and usability of enterprise AI solutions. What you bring - Experience in IT Operations, Site Reliability Engineering, or AI infrastructure and support, with a track record of operating complex production systems. - Practical experience working with AI platforms, LLM integrations, or AI-powered applications, including exposure to Anthropic Claude, Google Gemini, or similar models. - Working knowledge of Linux administration and experience writing scripts or automation using Python, Bash, or similar languages. - Familiarity with infrastructure management, configuration, or orchestration tools such as Terraform, Ansible, Chef, or Kubernetes. - Experience troubleshooting production systems, investigating technical issues, and working with monitoring or observability tools. - Strong problem-solving skills, curiosity, and an interest in learning emerging AI technologies and infrastructure. - Ability to communicate technical issues clearly and collaborate with developers, engineers, and internal stakeholders. - Bonus: Exposure to GPU infrastructure, AI workload orchestration, vector databases, RAG applications, agentic frameworks, or hybrid cloud environments. What we offer - Challenging, high-impact work to grow your career. - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $132,000 - $155,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $116,000 - $136,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $103,000 - $121,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

F

AI Engineer, Internal Tools

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma employees are among the most AI-active in the industry, and our Internal AI team, part of FTS (our Business Technology org), helps turn that energy into meaningful impact by making it easier for every Figmate, from Sales and Support to Finance, People, and Legal, to safely adopt AI and use it to improve how they work. We’re a small, high-leverage team organized around three pillars: Platform & Tooling, Infrastructure & Hosting, and Applied AI Builds, and this role is a key member of the Applied AI Builds pillar. As an AI Engineer, Internal Tools, you’ll work directly with teams across Figma to identify high-value AI opportunities and take them to production, moving from understanding a business workflow, to rapidly prototyping an approach, to evaluating it and integrating it with the systems and data needed to make it useful in the real world. This isn’t a role focused only on building AI demos: you’ll own solutions through production, help determine where AI adds value and where traditional rules-based software is the right choice, and shape how agents can safely take actions across enterprise systems. As common patterns emerge, you’ll partner with our Platform & Tooling and Infrastructure teams to build reusable capabilities that make future AI builds faster and safer. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Partner directly with teams across GTM, Finance, People, Legal, Support, and other business functions to understand workflows and identify high-value opportunities for AI - Design, build, and productionize AI agents, assistants, and workflow automations that solve real business problems using LLMs, tool calling, RAG, structured outputs, agent frameworks, MCP, APIs, and enterprise data - Integrate AI applications with enterprise systems and data sources across GTM, Finance, People, Support, and internal APIs - Build evaluations and feedback loops to measure accuracy, reliability, and business impact before and after AI solutions reach production - Design deterministic guardrails, human-in-the-loop controls, and approval patterns for workflows where AI systems take business-critical actions - Build production-ready systems with strong observability, failure handling, security, authentication, authorization, and auditability - Identify reusable patterns across individual AI projects and build them out as shared components and capabilities in partnership with our Internal AI platform teams - Help define how Figma approaches Applied AI engineering and scales AI adoption across the company We’d love to hear from you if you have: - 5+ years of software engineering experience building production applications, integrations, backend systems, or AI-powered products - Hands-on experience building applications with LLMs, agents, retrieval-augmented generation, function calling, schema-constrained outputs, or evaluation frameworks - Experience taking an AI application or workflow beyond a prototype and operating it in a production environment - Strong API, integration, and system design fundamentals, with experience connecting applications across multiple systems and data sources and strong engineering judgment about when to apply AI and when a rules-based approach is the right choice, and experience designing reliable production systems with appropriate observability, failure handling, authentication, authorization, and security controls - Experience working directly with non-engineering stakeholders to understand ambiguous business problems and translate them into technical solutions and ability to move quickly from discovery to prototype while understanding what is required to safely and reliably productionize a solution While it’s not required, it’s an added plus if you also have: - A background building internal AI applications or working in an Applied AI, Forward Deployed Engineering, or AI Solutions Engineering role - Experience with MCP, agent orchestration frameworks, and enterprise tool-calling patterns - Knowledge of AWS Bedrock, AgentCore, OpenAI, Anthropic, or similar AI platforms - Experience integrating enterprise systems such as Salesforce, Zendesk, Workday, NetSuite, Greenhouse, or Slack - Knowledge of with AI evaluations, observability, prompt/version management, and human-in-the-loop systems - Experience implementing enterprise identity and access patterns such as Okta, SSO, OAuth, and secure service-to-service authentication, within Security, Privacy, SOX/ITGC, or other enterprise governance requirements At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 - $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: - Holding interviews in an accessible location - Enabling closed captioning on video conferencing - Ensuring all written communication be compatible with screen readers - Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: - Candidates may submit up to 5 applications during any rolling 30-day period. - Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

C

Senior Customer Engineer, Enterprise - San Francis...

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: San Francisco, CA What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $214,000.00 - $336,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

C

Senior Customer Engineer, Digital Native - Vancouv...

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Vancouver, BC What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

C

Senior Customer Engineer, Central & Eastern Europe...

€111,000 – €174,000

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Amsterdam, Netherlands and London, United Kingdom About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Senior Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: 8 - 12 years of experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. - For Netherlands based hires: Estimated annual salary is between €111,000 - €174,000. - The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. - This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

C

Model Operations Lead, AI Gateway

$230,000 – $317,000

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York City, NY | San Francisco, CA About AI Gateway AI inference is becoming core infrastructure. Every serious application will need access to many models across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare's bet that this layer belongs at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. Developers using AI Gateway need answers to two questions. Is the model I'm calling working the way you say it does? And which model should I be using at all? You'll lead the models team that answers both. You'll start with model operations. That's the work behind every model in the catalog: provider integrations, capability testing, pricing and metering, capacity, security reviews, docs, health, and deprecations. Sometimes a launch needs to go live within minutes of a lab's announcement. Sometimes the right call is to hold it. Cloudflare is an infrastructure company at heart, so reliability and accuracy come first; speed comes from preparation and automation. Then you'll bring model intelligence online. That means turning what we learn from Gateway traffic into decisions for customers: capability maps, per-task rankings, auto-routing profiles that pick the right model for each request, evals and regression detection, and market intelligence developers can trust. This is a people-management role reporting to the AI Gateway Engineering Manager. You'll hire, develop, and lead the team, and you'll stay hands-on: writing code, building agent-driven workflows, and getting into the details of a failed launch or a suspicious eval SLO. Expect to manage people, projects, model stock, and operations all at once. About the Role - Build and lead the models team: Hire, coach, and grow the people who run the catalog today and build its intelligence over time. Give people real ownership, give direct feedback, and grow leads who can run their own areas. - Run model launches end-to-end: Scope integrations, coordinate testing and evals, confirm pricing, metering, capacity, and security, and get docs and announcements ready. Prepare day-zero launches in advance so they can ship in minutes. - Keep the catalog true: Make sure what we publish (capabilities, limits, versions, prices) matches what developers actually get. Catch silent regressions, such as broken tool calling, truncated streams, quantization changes, or usage and pricing mismatches, before customers do. - Build model intelligence: As it comes online, own the evals, capability maps, and per-task rankings behind our auto-routing profiles and model recommendations. Make sure they measure what they claim to, and connect regressions to routing decisions so customers who chose "auto" aren't the ones who discover a problem. - Treat the catalog and intelligence as products: Have a point of view on which models belong in the catalog, which routing profiles to ship, and what market intelligence to publish. Base it on usage, quality, reliability, and cost data. Turn what you learn into roadmap input. - Run a lightweight operating cadence: Keep one source of truth for what's in flight, who owns it, what's blocked, and what ships next. Keep Engineering, Product, Partnerships, and other stakeholders aligned and informed without status meetings. - Automate relentlessly: Turn repeatable steps into scripts, tools, and agent workflows: endpoint validation, eval runs, catalog and pricing reconciliation, regression detection, and provider follow-ups. Manual effort per launch should fall as the catalog grows. Responsibilities - Day-Zero & Quality Launches: Ensure new models launch on day zero with tested capabilities, accurate pricing, docs, and a clear call on routing eligibility. - Catalog Reliability & Health: Ensure the catalog reflects reality, and proactively identify when a model or provider is underperforming before customers notice. - Auto-Routing & Optimization: Deliver auto-routing that measurably beats a fixed model choice on cost or quality for users. - Developer Trust & Methodology: Build and maintain trusted rankings and recommendations grounded in solid methodology. - Partner & Stakeholder Management: Set clear expectations for providers, while keeping Engineering, Product, Partnerships, and other stakeholders aligned. - Team Leadership & Growth: Provide clear ownership and direction so the team knows what's next, who owns it, and how to grow into bigger roles. - Operational Scalability: Continually drive down the human effort required for each launch, eval, and routing update through tools and automation. Desirable Skills, Knowledge, and Experience - People Leadership: Experience hiring, managing, and growing engineers or operators, giving direct feedback, delegating real ownership, and expanding scope without becoming a bottleneck. - Technical & Shipping Capabilities: Proven track record of taking technical launches or integrations from ambiguity to production across teams and partners. Hands-on ability to write TypeScript, Python, or Rust, read API docs, inspect endpoints, and debug using terminal tools (logs, cURL). - Model Ecosystem Expertise: Deep familiarity with new models, labs, and inference providers. Hands-on understanding of streaming, tool calling, structured outputs, rate limits, token pricing, and provider-specific model behavior variations. - Product & SRE Mindset: Data-driven product instincts to advocate for adding, modifying, or retiring catalog items. SRE approach to defining, measuring, and alerting on service health, managing incidents calmly, and fixing root causes. - Agent Workflows & Detail-Oriented Execution: Daily experience building with agents—scoping work, verifying outputs, and integrating deterministic checks or human judgment appropriately. Meticulous attention to detail regarding model IDs, context limits, per-token prices, and response fields. Bonus Qualifications (Nice to Have): - Experience at an inference provider, model lab, model router, eval platform, or API company. - Background in evals, ranking/recommendation systems, observability, metering, or usage-based billing. - Familiarity with Cloudflare Workers, AI Gateway, Workers AI, or Replicate. - Relevant domain backgrounds in engineering management, SRE, partner engineering, evals/applied ML, technical program management, or solutions engineering. Compensation Compensation may be adjusted depending on work location. - For Bay Area based hires: Estimated annual salary of $230,000 - $317,000 - For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $275,000 - $303,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

R

Principal Software Engineer, GenAI Platform

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: Foundation AI builds the platforms, services, and infrastructure that enable machine learning and generative AI across Roblox. As a Principal Engineer on this team, you'll set technical strategy and direction across areas such as model training and inference, LLM services, agent infrastructure, data systems, experimentation, evaluation, and developer tooling. You'll be accountable for the architecture and long-term health of systems that many teams depend on, and you'll shape how Roblox builds AI — partnering with engineering, product, research, data, infrastructure, safety, creator, engine, discovery, and economy. You will report to an Engineering Manager within the Foundation AI organization. You will: - Define the multi-year technical vision and architecture for platforms and services that power machine learning, generative AI, and agentic experiences across Roblox. - Drive the hardest, most ambiguous, highest-leverage problems on the platform from framing through production on multi-provider inference resiliency and scaling information retrieval infrastructure for agentic use and be accountable for the outcomes. - Establish the standards, paved paths, and guardrails that make the platform self-serve for every team at Roblox — multi-tenant usage attribution and metering, built-in spend controls, and fast, ticket-free onboarding. - Make foundational trade-offs in quality, latency, reliability, cost, and responsible data use for systems operating at Roblox scale — treating instrumentation and observability as a first principle of the architecture, not an afterthought. - Own the operational standard for the platform at scale — SLOs, capacity planning, on-call, and incident response and design for graceful degradation and fast recovery, not just steady-state correctness. - Identify high-impact opportunities and risks ahead, and build alignment across engineering and leadership to act on them. - Multiply the impact of other engineers through technical mentorship, design and code review, and setting the bar for engineering excellence. You have: - An undergraduate/graduate degree in computer science, a related technical field, or equivalent practical experience. - 8+ years of experience building and operating large-scale production software, distributed systems, cloud services, or related infrastructure. - A sustained track record of designing and owning foundational systems or platforms with organization- or company-wide impact. - Deep expertise in one or more of machine learning, generative AI, distributed systems, data infrastructure, or developer platforms, with the breadth to reason across all of them. - Expert proficiency in one or more of Go, Python, or Rust, and the judgment to choose the right tools for durable systems. - A history of setting technical direction across multiple teams and driving large, cross-organizational efforts to completion. - Exceptional communication and influence skills, with the ability to align engineers, product, and leadership around a technical strategy. Nice to have: - Experience building or operating an LLM gateway, inference-serving, or model-routing layer — multi-provider failover, rate limiting, and token/cost accounting at scale. - Hands-on work with vector databases, similarity search, or knowledge graphs, and with RAG or agentic systems (retrieval pipelines, agent memory, context management, evaluating non-deterministic systems). - Experience designing multi-tenant platforms — usage attribution, metering, spend controls, and self-serve onboarding. - Background in GPU infrastructure or ML inference efficiency (batching, quantization, accelerator utilization, cost optimization). For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $328,610 - $362,280 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

E

Principal Engineer, AI Platform

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ONLINE INFRASTRUCTURE What We Do We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world. What You'll Do As Technical Lead / Principal Engineer on the Al Engineering team, you'll provide technical leadership and strategic vision for the Al-powered platforms, tools, and services that accelerate development velocity and productivity across Epic. You'll guide a team of engineers in building high-impact products such as unified AI code review systems, Cloud agent hosting, a centralized AI knowledge base, and developer experience tools that serve thousands of folks across the company. This role sits at the intersection of Al innovation, practical engineering, and technical leadership. You'll set the technical direction for tools that developers across Epic use every day, establish best practices for Al-powered development tooling, mentor engineers, and shape how thousands of engineers write, review, and ship code. On top of that, you'll be hands-on building complex aspects of the systems and working heavily with Al agents to implement, test, release, and operate these critical platforms. In this role, you will - Provide technical leadership and architectural vision for production-grade AI developer tools used by thousands of engineers across Epic's major codebases (Unreal Engine, Fortnite, and more) - Drive architectural decisions for scalable, maintainable developer-facing tools across multiple modalities: CLI and desktop tools, web apps, build process integrations, services, and APIs - Pioneer and establish patterns for modern AI frameworks and agent architectures, setting standards for the broader team - Partner with leadership and high-value teams to identify strategic opportunities and design/build/validate new platforms - Design and implement security, governance, and compliance protocols for AI platforms, including secret management, workload identity, and runtime isolation policies - Define measurement strategies and success metrics to track impact and continuously improve tool effectiveness - Mentor and grow a team of software engineers, conducting architecture reviews and raising the bar for technical excellence What we're looking for - B.S. in Computer Science or equivalent experience with 10+ years building production software systems - Track record of providing technical leadership for complex software projects from conception to delivery at scale - Proven experience in "zero-to-one" platform ownership: leading the technical design, architectural strategy, and initial build-out of new platforms before they are fully staffed and scaled - Expert-level experience with REST APIs, microservices, and distributed systems - Experience operating and orchestrating scalable services on Kubernetes, including managing container lifecycle and security configurations - Experience with and high level of interest in using and building AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) - Proven ability to turn ambiguous organizational problems into concrete technical strategies and drive them to completion EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

S

Machine Learning Scientist – Generative Molecular...

$134,400 – $252,000

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Introduction to the team: The AI Simulation (AI Sim) division at SandboxAQ applies physics and AI simulation to problems in drug discovery and the material sciences. You will work within a highly skilled, multidisciplinary team of computational chemists, physicists, AI experts, and software engineers, on a generative platform that is used across both application areas. Introduction to the role: We are looking for a Machine Learning Scientist to help build the generative engine at the centre of SandboxAQ's material discovery work. The platform finds compounds that match a desired property profile by navigating chemical space while balancing multiple competing objectives. You will: (1) implement, extend, and optimise frontier generative architectures for material discovery; (2) own the interface between the generative engine and the property predictors that supply its reward signal; (3) identify, ingest, and quality-control the data these models are trained and evaluated on; and (4) turn the models you build into production capability that discovery scientists across the company can run. See how SandboxAQ is helping build America's semiconductor supply chain from the materials up Key Responsibilities - Architect and evolve our flagship generative platform , serving as a core contributor to the engine that will redefine how the industry discovers new materials. - Implement and optimize state-of-the-art generative models - including diffusion, flow-matching, and GFlowNets, or LLM- and agent-based methods — to navigate high-dimensional chemical space and solve the multi-objective optimization problems that material discovery presents. - Own the reward interface. Integrate learned surrogates, and simulation-derived oracles as the objective signal driving generation, and design reward formulations that hold up when several objectives are in genuine tension e.g. performance against environmental and safety constraints. - Develop and deploy computational methods and workflows to generate and evaluate hypotheses, guiding design decisions and influencing project direction. - Identify relevant data sources and take responsibility for data ingestion, QC, and validation. - Collaborate daily with a core group of ML researchers to implement frontier generative architectures, while working closely with the broader R&D, discovery, engineering, and product teams. Essential Skills & Experience - Hands-on expertise building and shipping modern generative or applied ML for material discovery with at least 4+ years of experience delivering these solutions in industry or an equivalent research setting. - Demonstrated ability to write clean, maintainable, and robust production-grade code designed for industry-scale applications. - Proven ability to build scalable ML, e.g. using PyTorch, TensorFlow, or JAX. - Familiarity with cloud-based platforms (e.g. Google Cloud Platform, AWS) for compute and data processing and storage. - PhD or MSc in Computational Chemistry, Physics, Computer Science, or equivalent. - Excellent communication skills and a record of fostering successful internal collaboration in a fast-paced environment. - Experience developing ML code in a collaborative environment using modern software engineering best practices. Highly Desired Skills & Experience We are growing this team across three areas of generative expertise, listed in the order we most need them. You do not need all three — deep, hands-on strength in any one of them is what we are looking for. - Active learning and bayesian optimization. Driving a design-make-test loop with an expensive oracle such as a physics simulation (DFT, molecular dynamics) or an experimental lab-in-the-loop assay. - Guided generative modeling for material discovery; generation constrained to makeable chemical space; inference-time steering (guided diffusion, sequential monte-carlo and related approaches) or fine-tuning (LoRA, reinforcement learning) for adapting general models to a particular domain of interest;. - Agentic and LLM approaches to material discovery. Why Join Us? We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth. - Compensation: Competitive base salary commensurate with experience, plus equity and performance-based incentives. - Benefits: Comprehensive health, dental, and vision insurance; 401(k) with company match; generous parental leave. - Work-Life Balance: Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery. - Career Development: Direct exposure to CHIPS Act-funded programs, senior scientific and executive leadership, mentorship, and dedicated learning budgets to support continued growth. SandboxAQ Welcomes All We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity : All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews

S

Machine Learning Scientist - Molecular Force Field...

$134,400 – $252,000

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Introduction to the team: This role is for the PFAS team which sits within SandboxAQ's Chemical Simulation (ChemSim) group. Our mission is to develop PFAS-lean or PFAS-free substitutes and formulations for semiconductor process and fab materials that meet both performance specifications and environmental and safety requirements in complex semiconductor manufacturing environments. We combine generative ML, physics based simulation (e.g. DFT and molecular dynamics), Large Quantitative Models for property prediction, and multi-scale modeling with a partner driven experimental validation loop. You will work alongside industrial co-development partners to move candidate molecules from prediction to qualified use. Introduction to the role: The PFAS team is hiring Machine Learning Scientists to own machine learned force fields (MLFFs) for the PFAS substitution programme, including generating the first principles data they are trained on. Machine learned potentials are the load bearing element of our discovery pipeline: the properties that decide whether a candidate molecule can replace a PFAS incumbent — among them reactivity, thermal stability, and the diffusivity through polymer matrices — are ones that the physics based simulations can compute accurately but far too slowly to screen a library, and that classical force fields compute quickly but may not be accurate enough to trust. In this role you will: (1) design and run the high-throughput quantum chemistry and molecular dynamics campaigns that produce our training data, and own the infrastructure that makes them reproducible; (2) train, validate, and deploy the potentials that data supports, and identify where each model's domain of validity ends; and (3) extend machine learned potentials into the chemistry that PFAS substitution requires. See how SandboxAQ is helping build America's semiconductor supply chain from the materials up Key Responsibilities - Own the training data. Design and run high-throughput physics based simulation campaigns that produce labelled training data for the PFAS chemical space, making the calls that determine whether the data is fit to train on — level of theory, basis set, convergence criteria, sampling strategy, and error budget. - Build the data generation infrastructure. Stand up automated, restartable, provenance tracked workflows across cloud and HPC by collaborating with the engineering team; curate and version the resulting datasets, and combine internally generated first-principles data with relevant public molecular and materials datasets under consistent conventions. - Train and own the MLFF stack for the PFAS vertical . Select architectures, train, validate, and deploy machine learned interatomic potentials across the chemical space of PFAS substitution demands. Fine tuning universal or foundation potentials, or training from scratch when appropriate. - Deliver the property predictions the screening pipeline runs on. Build and validate MLFF-driven protocols for the properties our pipelines need — for example protonation and deprotonation energetics underpinning pKa, ion diffusivity in glassy polymer matrices, and Green-Kubo viscosity and thermal conductivity — each benchmarked against reference data or experiment. - Push the potentials into the process chemistries that matter. Extend coverage to resin phase polymerisation and plasma surface etch chemistry, moving beyond single molecule, gas phase behaviour into the condensed phase regime our applications actually occupy. - Run production campaigns and deploy models on our platform . Execute at scale prediction campaigns across full candidate libraries, and land trained models, datasets, and reproducible training pipelines in SandboxAQ tooling so that other scientists can run them from written documentation. - Collaborate across the discovery loop, and set the honesty bar . Partner with the generative modeling, molecular property ML, and simulation teams so that MLFF-derived properties are usable as screening oracles and reward signals. Work with our partner facing materials scientists so predictions are checked against real process constraints. Report error bars, hold-out performance, and domain-of-validity limits alongside every predicted property, and escalate when a model is being asked a question it cannot answer. Essential Skills & Experience - PhD in Computational Chemistry, Materials Science, Physics, Machine Learning, or a related field, with deep specialization in machine learned interatomic potentials or atomistic simulation. - Demonstrated depth developing and deploying machine learned force fields — including at least one potential that you trained, validated, and put into the hands of other people who now rely on it, whether inside a company or as a public release. We are interested in what you have built and shipped rather than in years served, and this posting is open across experience levels. - Hands-on experience generating first principles training data at throughput with production quantum chemistry and electronic structure codes (e.g. VASP, Quantum ESPRESSO, CP2K, ORCA, Psi4, or Gaussian), including the judgment to set and defend level of theory, basis set, and convergence criteria. - Demonstrated fluency with descriptor based, modern equivariant, and message-passing potential architectures (e.g. MACE, NequIP, Allegro, TensorNet, DeePMD, ANI-class, or FairChem/UMA-family models) — including what each is good for and where each fails. - Strong programming skills in Python and hands on experience with modern ML frameworks (e.g. PyTorch, JAX), including training at scale on GPU clusters. - Practical experience coupling learned potentials into production molecular dynamics engines (e.g. LAMMPS, GROMACS, OpenMM, ASE) and extracting converged physical observables from the resulting trajectories. - Hands-on experience with classical molecular dynamics in those same engines — force field selection and parameterisation for organic and condensed phase systems (e.g. OPLS-AA, AMBER/GAFF, or ReaxFF for reactive chemistry), system construction and equilibration, ensemble and thermostat/barostat choice, and the judgment to say when a classical description stops being trustworthy and a learned potential is required. - Experience building automated computational workflows and curating large scientific datasets — provenance, versioning, and reproducibility. - Demonstrated validation discipline: a track record of characterising model error and out-of-domain failure rather than reporting best case benchmark numbers. - Experience working in cloud and high performance computing environments. Highly Desired Skills & Experience - Hands-on experience with fluorine containing chemistry, fluoropolymers, or PFAS-adjacent molecular systems. - Experience computing free energies by thermodynamic cycle or alchemical methods, and/or transport properties by Green-Kubo or non-equilibrium MD. - Experience with long range electrostatics, polarization, or implicit solvation treatments in learned potentials. - Familiarity with generative molecular design frameworks Why Join Us? We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth. - Compensation: Competitive base salary commensurate with experience, plus equity and performance-based incentives. - Benefits: Comprehensive health, dental, and vision insurance; 401(k) with company match; generous parental leave. - Work-Life Balance: Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery. - Career Development: Direct exposure to CHIPS Act-funded programs, senior scientific and executive leadership, mentorship, and dedicated learning budgets to support continued growth. SandboxAQ Welcomes All We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity : All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews

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Sr. HPC Engineer - Platforms

Negotiable

PsiQuantum's mission is to build the first useful quantum computers: machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry, including partners like GlobalFoundries, we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don't feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. That approach has since been tested at the highest level of scrutiny the U.S. government applies to emerging technology, and it has held up. In 2025, PsiQuantum closed a $1 billion funding round that valued the company at $7 billion. In 2026, the U.S. Department of Commerce signed a $100 million Letter of Intent under the CHIPS and Science Act, followed by a $125 million agreement with DARPA under Stage C of its Quantum Benchmarking Initiative, PsiQuantum's most valuable U.S. government agreement to date. This year, we also broke ground on our utility-scale quantum computer in Brisbane, Australia, and continued building out our Chicago site. Victor Peng, our CEO, and co-founder Jeremy O'Brien, now Executive Chairman, lead a team and board that reflects how seriously the world is taking this build, joined this year by Intel's Lip-Bu Tan and Atomico's Niklas Zennström. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies, including Airbus, Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift, and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we now have the funding, the government validation, and the sites under construction to make it real. Job Summary: As an HPC Software Engineer, you will be responsible for designing, developing, and optimizing HPC software solutions that leverage NVIDIA GPUs, AMD CPUs, and MPI for distributed and parallel computing. This role will require a strong foundation in computational science, parallel algorithms, and the specific intricacies of GPU and CPU optimization. You’ll also play a key role in designing and implementing scalable solutions for our HPC clusters, ensuring high-performance applications can run efficiently as nodes scale up to meet expanding global workloads. Responsibilities: - Develop and Optimize HPC Software: Design and implement software solutions that harness the power of NVIDIA GPUs and AMD CPUs, focusing on maximizing computational efficiency and speed. - Parallel and Concurrent Computing: Employ expertise in MPI, CUDA, OpenMP, and other parallel computing techniques to ensure that applications scale effectively on multi-core and multi-GPU systems. - Scaling and Cluster Management: Contribute to the design, deployment, and scaling of HPC nodes to ensure clusters can expand based on data and computational demands. Optimize software and cluster configurations to enable seamless scaling of nodes. - Algorithm Optimization: Identify and implement algorithms best suited for GPU/CPU computing to handle complex computations and data-intensive tasks, with a focus on scalable solutions that maintain performance as node count increases. - Node Profiling and Performance Analysis: Conduct profiling and benchmarking of HPC applications across scaled environments to identify bottlenecks and ensure consistent performance across nodes. Use tools such as NVIDIA Nsight, AMD μProf, and Intel VTune for performance tuning. - Collaboration Across Teams: Work closely with scientists, engineers, and IT staff to ensure HPC applications are optimized and scalable for various research and production environments. - Documentation and Reporting: Create clear documentation for all code and scaling processes. Report on performance metrics, improvements, and results to stakeholders. Experience/Qualifications: - Education: Bachelor's or master's degree in computer science, Electrical Engineering, Computational Science, or a related field. Advanced degrees or relevant certifications are a plus. - Experience: 3+ years of experience in HPC development, with a focus on parallel and distributed computing, and experience with scalable systems. 5+ years previous experience in scientific software development. - Technical Skills: NVIDIA GPU Programming: Proficiency in CUDA and familiarity with NVIDIA’s HPC software stack, including cuDNN, NCCL, and TensorRT. - Parallel Programming: Expertise in MPI, OpenMP, and other parallel programming paradigms. - Cluster Scaling and Optimization: Strong understanding of scaling clusters and optimizing software for distributed, multi-node environments. - Languages: Strong proficiency in C/C++, Python, and Ansible / Terraform / Packer - Tools and Frameworks: Familiarity with profiling and performance optimization tools (e.g., NVIDIA Nsight, AMD μProf, Intel VTune). - Soft Skills: Ability to work independently and as part of a team, excellent problem-solving abilities, strong communication skills, and a keen attention to detail. Preferred Skills - Familiarity with HPC Environment Management: Experience with Slurm, PBS, or other job scheduling and resource management tools. - Experience with Containerization: Knowledge of Singularity or Docker in an HPC context. - Experience with Cloud Scaling Solutions: Understanding of cloud-based HPC scaling solutions or hybrid HPC environments is a plus. - Machine Learning Acceleration: Experience with machine learning frameworks that utilize GPUs, such as TensorFlow, PyTorch, or PySCF is a plus. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com . We are not accepting unsolicited resumes from employment agencies.

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Staff Machine Learning Engineer, Compliance Automa...

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Machine Learning Engineer on the Compliance Automation team within the Platform group, you'll build the AI systems that are reimagining how Coinbase executes compliance operations at scale. This team designs and ships Agentic AI solutions that automate compliance processes, from investigation workflows to decision support, replacing manual operations with intelligent, auditable, and measurable automation. You'll own the ML architecture for production compliance agents, driving technical decisions on model selection, grounding, guardrails, and evaluation while partnering with Compliance stakeholders to ensure every automated output meets regulatory standards. What You'll Do: - Architect and build production Agentic AI systems for compliance automation, including LLM-powered agents, orchestration pipelines, and decision support workflows that replace manual compliance processes - Own the ML technical direction for compliance agents, driving model selection, prompt engineering, grounding strategies, and guardrail design that ensure agent outputs are accurate, auditable, and regulatorily defensible - Design and implement evaluation and measurement frameworks that quantify agent performance, detect hallucinations and drift, and provide the auditability compliance teams and regulators require - Partner with Compliance, Legal, and Operations stakeholders to translate complex regulatory workflows into automatable technical specifications, identifying which processes are candidates for full automation vs. human-in-the-loop augmentation - Mentor engineers on ML system design, LLM application patterns, and responsible AI practices, raising the team's technical bar for production AI systems Required Skills and Experience: - 8+ years in machine learning and software engineering, with demonstrated experience shipping LLM-based or Agentic AI applications to production - Deep expertise in LLM application development, including prompt engineering, retrieval-augmented generation (RAG), grounding techniques, hallucination reduction, and agent orchestration frameworks - Proven track record building evaluation and measurement systems for ML models in production, including monitoring for drift, accuracy degradation, and output quality at scale - Strong Python proficiency with hands-on experience in GenAI frameworks and ML infrastructure (e.g., LangChain, vector databases, Airflow, Spark, or equivalent orchestration and data processing tools) - Experience in compliance, regulatory technology, financial crimes, or similarly regulated domains where auditability, explainability, and correctness of automated decisions are critical - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

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Senior Software Engineer - Data Platform

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Data Platform team builds and operates systems that centralize all of Coinbase's internal and third-party data, so teams across the company can access, process, and transform it for analytics, machine learning, and end-user experiences. As a senior engineer, you will work across the full stack of our systems: foundational processing and storage, scalable pipelines, and the frameworks and internal tools that make data easy to use. What you’ll do: - Design, build, and operate foundational data services, including storage (cloud warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), and streaming (Kafka). - Build and maintain data integration and processing SDKs used by internal services and product teams. - Design self-service tools so users can manage and troubleshoot their own data pipelines. - Build services for data security, observability, quality, cataloging, and lineage. - Turn requests from analysts, ML, and security teams into reusable, scalable patterns. Required Skills and Experience: - 5+ years of experience in software engineering, including senior-level ownership. - Strong Python, Go, or Java backend development skills. - Hands-on experience with data systems or data pipelines. - Familiarity with design patterns such as scale-out, caching, key/value, and columnar storage. - Working knowledge of SQL and Airflow for operational data analysis. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. LI-REMOTE Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): ₹6,612,000 - ₹6,612,600 INR - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

C

Offensive Security Engineer, AI

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Offensive Security Engineer on the Application Security team within Security, you'll pioneer how Coinbase uses frontier AI models to scale vulnerability discovery, red team AI systems, and automate security workflows. This role bridges traditional penetration testing with next-generation AI-augmented offensive security, directly accelerating our ability to protect products and customers. You'll own the development of AI-driven security tooling and collaborate across Vulnerability Management, Offensive Security, and Incident Response to fundamentally shift how we operate. What you'll do: - Build, deploy, and maintain custom security scanners that leverage frontier models to detect vulnerabilities at scale across Coinbase's product surface. - Lead red teaming efforts against internal AI systems, including jailbreak testing, prompt injection analysis, and tool abuse simulation. - Develop AI-driven automation for vulnerability triage, validation, and remediation workflows to accelerate the bug bounty and vulnerability response pipelines. - Partner with engineering teams to prioritize, remediate, and verify fixes for critical vulnerabilities discovered through AI-augmented and manual testing. - Mentor junior security engineers on integrating AI into offensive security workflows to scale team capabilities. Required Skills and Experience: - 3+ years of experience in application security, penetration testing, or offensive security with demonstrated ability to build custom security tooling. - Hands-on experience using LLMs or frontier models to automate security tasks, scale vulnerability research, or build security scanners. - Demonstrated experience red teaming AI-based systems (prompt injection, jailbreak testing, tool abuse). - Deep understanding of common vulnerability classes (OWASP Top 10, SANS Top 25) and proven track record identifying and exploiting them in production environments. - Proficiency in at least one programming language (Python, Go, or similar) with experience writing production-grade security tooling. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): $154,000 - $154,000 CAD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

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Machine Learning Engineering Manager - Core Ads Ra...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Team The Core Ads Ranking team advances user representation and graph learning, improves sequence modeling across ads verticals, and builds robust pipelines and state‑of‑the‑art architectures for foundational models. The team also leads core initiatives in knowledge distillation, model calibration, and heuristic improvement. This role offers a unique opportunity to shape and scale Reddit’s foundational modeling and deep user‑understanding roadmap, while multiplying impact through close collaboration with downstream teams including Retrieval, Shopping, Click Prediction, Video View‑Through Prediction, Conversion Prediction, and App Ads Modeling. This position is ideal for a leader with deep machine learning expertise, strong strategic vision, and a collaborative mindset capable of engaging effectively with both technical and cross‑functional partners. Responsibilities: - Set Technical Vision and Strategy: Define and execute a roadmap for foundational model and user understanding, balancing high-ambuiguity long-term investments with measurable milestones. - Collaborate Cross-Functionally: Partner with vertical customer teams, horizontal signal teams, and infrastructure/platform teams to align on direction, strategy, priorities, and constraints. - Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance, reliability, and robustness. - Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent while fostering a culture of growth, collaboration, and technical excellence. Candidate Profile: - 1+ years of management experience leading ML-focused teams - 6+ years of experience building and scaling machine learning models, and working with state of the art machine learning models - 4+ years of hands-on experience with TensorFlow or PyTorch - End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models - Experience working with foundational models, user or content understanding. - Experience with Ads is a plus. Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave LI-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 - $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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Legal Response Specialist

$100,000 – $115,000

We're hiring a Legal Response Specialist on Perplexity's Support team to handle legal and other sensitive tickets. You'll help Legal answer routine requests for information and support Governance, Risk & Compliance, or GRC, on privacy and security requests. You'll review cases, write responses, and follow up until the work is done. Support Engineering owns the routing and safeguards that keep these tickets from being missed, answered by AI, or automatically closed. Responsibilities - Monitor designated Support and Legal channels, assess urgency, and route requests for human review. Promptly escalate government, court, law enforcement, and legal-threat requests according to approved procedures. - Respond to routine requests using Legal-approved templates and guidance. Escalate matters requiring legal interpretation or disclosure of user information. - Answer routine requests for information under Legal's guidance. Gather account history and draft responses for matters that need review. - Help GRC process data subject requests and meet deadlines. Follow approved identity-verification and data-handling procedures. - Coordinate security questionnaires and data protection agreements, with Legal and GRC responsible for substantive review and approval. - Track each case through completion, including after handoffs. Record decisions, follow up on deadlines, and confirm the work is done before closing. - Work with Support Engineering to test routing, AI bypass rules, auto-close protections, and alerts. Investigate missed cases and verify fixes. - Keep approved replies and handoff instructions current with Legal and GRC. Arrange backup coverage so cases keep moving when you're out. - Handle other sensitive support escalations. Report backlog, response times, overdue cases, and recurring problems to Support, Legal, and GRC. Requirements - 5+ years in support, trust and safety, legal or privacy operations, or compliance, ideally at a technology company. - Experience handling legal, privacy, or law enforcement requests. - Working knowledge of GDPR, CCPA, and data subject requests. - Judgment about when to involve Legal or GRC, and care with confidential and privileged information. - Clear writing, including in sensitive customer conversations. - Ability to manage competing deadlines and follow through without reminders. - Experience improving support processes with technical teams, including automation and AI safeguards. Nice to have - Experience with Intercom, Decagon, Linear, or Kodex. - Paralegal, privacy, or compliance experience or certification. - Experience with security questionnaires, SOC 2, ISO 27001, or HIPAA. - Familiarity with AI products or data tools for case reviews.

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Workplace Operations Manager

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We're looking for a proactive, detail-oriented Workplace Operations Manager to keep our San Francisco office running smoothly. You'll be the backbone of our day-to-day operations. Managing everything from vendor relationships and office logistics to event planning. This is a great fit for someone who thrives in a fast-paced environment, loves solving problems before they become problems, and takes pride in creating a great workplace experience for the whole team. What You Will Do : - Provide on-site support and serve as a first point of contact for employee questions - Perform daily inspections to keep the workplace clean, safe, and orderly. - Manage office repairs, maintenance schedules, and vendor relationships, escalating issues when necessary. - Handle incoming mail and package processing. - Support and manage onsite programs including food, snack, and beverage services. - Manage vendor relationships and contracts in partnership with Legal, Finance, and Procurement, from sourcing through renewal. - Plan and execute employee engagement events for the local team. - Serve as the primary point of contact for facilities issues and building management. - Help maintain a safe, organized, and welcoming office environment. Who You Are: - 3+ years of experience in an office management or workplace operations role (startup or tech company experience a plus) - Excellent organizational skills with strong attention to detail - Strong written and verbal communication skills, with a friendly, professional demeanor - Ability to multitask and prioritize in a fast-paced, ever-changing environment - A proactive, "can-do," "no task too small" attitude and a genuine desire to help others - Tech-savvy with Google Workspace, Slack, Notion, and ticketing systems - Experience working across different time zones is a plus - A collaborative team player who works well with colleagues across departments and builds strong relationships throughout the office - A plus: experience with access control and visitor management systems (e.g., badge provisioning, guest registration, security credentialing) What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

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People Tech & Analytics Lead

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a People Tech & Analytics Lead on the People team, you will turn people data into better decisions at Mistral. You will own the roadmap for our HR technology stack, from the HRIS transformation to integrations and data architecture, and build the analytics, dashboards and models that help our leaders understand how we hire, grow, retain and reward our people, and act on what they learn. You will do it the Mistral way: automating people processes with our own models, workflows and agents, and partnering with HR Operations, Business Partnering, Legal, Finance and IT to turn business needs into well-designed systems. You will lead a small team, starting with a People Tech & Analytics Engineer, alongside a large team of agents running our back-end HR processes, giving a fast-growing global company the clarity to make great people decisions at speed, with a seamless employee experience from hire to retire. What You Will Do - Own the people-tech roadmap and the HR tech stack end to end: what we build, buy, integrate or retire, the configuration standards, workflows, roles and permissions that govern it, vendor relationships, and the data pipelines across HRIS, ATS, payroll, identity and finance so data flows reliably between systems. - Define the people metrics that matter and lead analysis on workforce trends, retention and organisational health, turning insight into clear recommendations and workforce planning. - Oversee dashboards, self-serve reporting and conversational insights, so managers get answers without waiting on a spreadsheet. - Drive people-data governance, partnering with Legal and Privacy to keep people data compliant and AI use on it lawful, transparent and proportionate. - Own the automation and AI roadmap for people processes: build agents and workflows with Mistral's own models and APIs, set the standards for how they're designed, tested and monitored, and lead cross-functional projects from scoping to rollout. - Manage and mentor the People Tech & Analytics Engineer, set priorities, and grow the team as needs evolve. What We're Looking For - Deep experience in HR technology and people analytics, ideally in a high-growth tech company: expert in at least one, broad in both, and comfortable building from scratch. - A strong product mindset: you turn complex business and employee needs into intuitive, practical solutions, starting from the HR need, not the technology. - Experience with global HR tech platforms such as HiBob, Deel or Rippling, and the integrations, data architecture and governance connecting them to ATS, payroll, identity and finance. - Strong workflow-automation experience (n8n or similar) and a real appetite to build with our own LLMs, agents and APIs, with the judgement to know where AI helps and where it doesn't. - Solid analytics foundations (forecasting, visualisation, modern data stack such as Snowflake or BigQuery), experience building people analytics and data governance on workforce data, and working knowledge of GDPR as it applies to employee data. - Experience presenting to senior leaders, turning data into clear, decision-ready recommendations, and managing or mentoring technical or analytical team members, with the hands-on pragmatism to prototype and review technical work yourself. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

M

People Tech & Analytics Engineer

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a People Tech & Analytics Engineer on the People team, you will build the systems, data pipelines, and automations behind how Mistral runs People Operations. Reporting to the People Tech & Analytics Lead, you will turn the roadmap into reality: wiring our HR tech stack together, making data flow reliably between systems, and automating people processes with third-party tools as well as Mistral's own models, agents, and APIs. This is an individual contributor role for someone who loves building. You will spend most of your time in the systems and the data, deep-diving into problems: connecting HRIS, ATS, payroll, identity, and finance tools, standing up the data layer behind our people metrics, and shipping automations that remove manual work from the People team. If you are a data engineer or people technology specialist who wants to deliver meaningful automation outcomes at Europe's largest AI company, this is the role for you. What You Will Do - Build, maintain, and troubleshoot integrations and data pipelines across our HR systems (HRIS, ATS, payroll, identity and finance), run data quality checks, and fix inconsistencies at the source. - Implement and evolve the Metabase visualisation layer of our people data lake, build the dashboards and self-serve reporting managers and People partners rely on, and run hands-on analyses of workforce trends, retention and organisational health, supporting the move to conversational insights for leadership. - Design, build, test and document automated workflows, mainly with Mistral's own models, agents and APIs, with human review wherever decisions affect people, monitor live automations with alerting, error handling, logging and runbooks, and prototype AI use cases on people processes, productionising the ones that prove their worth. - Implement configuration changes across the HR tech stack (workflows, fields, roles and permissions, new countries and entities), support testing and rollout of system changes and integrations, and act as first-line troubleshooter for the People team, leading issue resolution through to production with a clear audit trail. - Architect end-to-end HR workflows with key stakeholders in HR Operations, Business Partnering and Reward, and implement data governance in practice: quality standards, access controls, retention rules and audit trails for employee data. - Provide clear enablement materials in Notion so the People team and managers can use our systems confidently, with strong tier-1 support via a bot. What We're Looking For - Experience in data engineering, analytics engineering or HR technology, ideally within an HR or People function or working closely with one as a stakeholder. - Strong practical SQL and Python skills: you are comfortable building pipelines and transformations yourself. - Hands-on experience with HR systems such as Ashby, and integrating them with ATS, payroll, identity and finance tools via APIs, middleware and data pipelines. - Real automation experience: you have built and maintained workflows in n8n or similar tools such as Make, Zapier, Workato or Langdock, and you are excited to do the same with Mistral's own models and tooling. - Working experience with data warehousing (Snowflake, BigQuery) and the modern data stack (dbt or similar), and with visualisation tools such as Metabase, Looker, Tableau or Power BI. - You are low-ego and team-spirited, and you take a prioritised problem and run with it in ambiguity: you would rather build a first version and iterate than wait for a perfect spec. You start from the HR need, not the technology, stay hands-on, and have a track record of building foundations in growing organisations without creating legacy. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

M

Field CTO, US

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move. What You Will Do Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models. What We're Looking For - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. Nice to have - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

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Field CTO, UK

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move. What You Will Do Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models. What We're Looking For - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. Nice to have - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

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Engineering Manager, Fleet Delivery

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The team Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. The Role A datacenter is not a cloud until software makes it one. You will lead the team that turns arriving hardware into accepted clusters. Cabling validation, burn-in, firmware, deployment validation, software stack install — all of it automated, none of it click-ops. Your KPI is time to acceptance: the hours between a rack being physically installed and it serving customer workloads. Across the industry that number is measured in weeks. You will drive it toward days, then hours, as we scale toward a gigawatt of compute across Europe. This is a founding leadership role at the intersection of hardware and software. Early on it is deliberately hands-on: most of your time in the code and the architecture, some of it on datacenter floors, because the automation has to survive contact with the machines it runs on. But the job is building and leading a team from day one — hiring your first engineers, coaching them, setting their growth paths, and running the rituals that keep quality high. As the team grows, the balance shifts toward people leadership, and you decide how fast. You shape this new team's charter and set the standard for how every future Mistral datacenter comes online. What You Will Do - Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install. - Build the team from scratch: make the first hires, onboard and coach them, own their performance and growth paths — and set the tooling standards and the playbook every future site reuses. - Own time-to-acceptance and drive it down relentlessly — measure it, break it down, kill the slowest step first. - Work shoulder-to-shoulder with Hardware Design and Fleet Health — reliability starts at delivery. - Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring. - Partner with Product Managers and the datacenter org to plan delivery waves against capacity commitments. What We're Looking For - You have automated bare-metal fleets — you have written the software that turns racks into clusters. If you have done it by hand, you resented it and scripted it. - Hardware fluency: servers, GPUs, NICs, switches, firmware — you can read a parts list and a topology diagram. - 8+ years building backend or infrastructure systems, with at least 2 years leading engineers — real people leadership: you have hired, coached, and grown engineers, not just set technical direction. - Deep Linux: you are comfortable well below the application layer. - You have shipped production systems in Go. Not dabbled. Shipped. - Willing to travel to datacenter sites when the work demands it. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

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Compensation Lead

$150,000 – $230,000

We're hiring a Compensation Lead to build Perplexity's compensation function and own its day-to-day execution. You'll build the programs and processes that support how we hire, recognize, and retain people. You should be comfortable moving between program design and an individual offer, building longer-term structure while keeping today's decisions moving. The goal is a compensation approach that is competitive, financially sound, and clear enough for people to use, without adding unnecessary complexity. What you'll own - Build the compensation foundation. Assess existing practices, data, and tools; prioritize the gaps; and develop recommendations on compensation philosophy, market positioning, and cash and equity guidelines. - Develop salary ranges and market benchmarks. Establish a consistent approach to pricing roles across functions and locations. Partner with People and business leaders on job scope and leveling, and explain where market data is useful or incomplete. - Own day-to-day compensation decisions. Be the primary partner for offers, promotions, pay adjustments, and compensation questions. Evaluate recommendations against market data, internal equity, and budget, with clear approval paths for exceptions. - Design and run compensation reviews. Build the calendar, planning models, manager guidance, and approval process. Coordinate with Finance, People Operations, Payroll, and equity partners to carry decisions through to accurate implementation. - Inform leadership decisions. Model the cost and employee impact of proposed changes to salary and equity programs. Present a recommendation and its trade-offs, then own execution once approved. - Identify and address inconsistencies. Assess pay compression and potential inequities across teams, levels, and locations. Partner with People leadership and Legal on appropriate reviews and recommend actions. - Build processes people can use. Establish decision records, recruiter and manager guidance, and clear explanations of compensation programs. Improve recurring workflows so consistent decisions don't depend on individual knowledge or one-off conversations. - Own the data and tools behind the work. Establish reliable compensation records, select and manage benchmarking resources, and improve reporting and quality checks. Use approved automation and AI tools where they help, with appropriate protection for employee information and verification of results. What you bring - Experience building compensation programs: You've established or substantially rebuilt compensation frameworks and processes with limited infrastructure, and stayed accountable for running them after launch. - Technical compensation depth: Hands-on experience with market pricing, salary ranges, cash and equity programs, compensation reviews, and individual pay recommendations. - Strong analytical judgment: You can build and audit models, reconcile imperfect data, and explain your assumptions. You know when a benchmark is a useful comparison and when it misses the role. - Ability to influence decisions: You can turn analysis into a clear recommendation, discuss trade-offs with leadership, and constructively challenge an approach that isn't working. - Independent, hands-on execution: You can set priorities, build a workable process, and manage urgent requests without losing progress on longer-term work. You're comfortable being both the person designing the program and the person checking the data. - Discretion and clear communication: You handle sensitive information carefully and explain compensation decisions in language that recruiters, managers, and employees can understand.